Daniel J. Schaid

40.5k citations

343 papers · 20.5k indexed · 5 hit papers · h-index 75

Impact in

Genetics top 0.05%
- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Cancer Research top 0.2%
- Cancer Genomics and Diagnostics

Papers in

Genetics 155
- Genetic Associations and Epidemiology 98
- Genetic Mapping and Diversity in Plants and Animals 41
- Genetic and phenotypic traits in livestock 29
- BRCA gene mutations in cancer 26
Cancer Research 53
- Cancer Genomics and Diagnostics 24

Co-authors: Shannon K. McDonnell Stephen N. Thibodeau Gregory A. Poland Charles M. Rowland Robert M. Jacobson Julie M. Cunningham Steve S. Sommer Steven J. Jacobsen
Journals: Genetic Epidemiology (32 papers)The American Journal of Human Genetics (19 papers)Cancer (15 papers)Mayo Clinic Proceedings (11 papers)Cancer Research (10 papers)
Partner nations: United States Japan Belarus

In The Last Decade

Daniel J. Schaid

340 papers receiving 20.0k citations

Hit Papers

5 papers align trajectories log scale

Principles and methods for transferring polygenic risk scores across global populations 2023 · 103 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Nature Reviews Genetics
2018 Nature Reviews Genetics
2002 The American Journal of Human Genetics
2001 JNCI Journal of the National Cancer Institute
1999 New England Journal of Medicine

Peers

Countries citing papers authored by Daniel J. Schaid

Since Specialization

Citations

This map shows the geographic impact of Daniel J. Schaid's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel J. Schaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Schaid more than expected).

Fields of papers citing papers by Daniel J. Schaid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Schaid. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel J. Schaid. The network helps show where Daniel J. Schaid may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel J. Schaid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel J. Schaid Line = papers co-authored together Daniel J. Schaid links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization Circulation Genomic and Precision Medicine ·Johanna L. Smith, Catherine Tcheandjieu, Ozan Dikilitas, Kruthika Iyer, Kazuo Miyazawa, Austin T. Hilliard, Julie A. Lynch, Jerome I. Rotter, Yii‐Der Ida Chen, Wayne Huey‐Herng Sheu, Kyong‐Mi Chang, Stavroula Kanoni, Philip S. Tsao, Kaoru Ito, Matthew Kosel, Shoa L. Clarke, Daniel J. Schaid, Themistocles L. Assimes, Iftikhar J. Kullo	2024	8
2	Polygenic Risk and Coronary Artery Disease Severity Circulation Genomic and Precision Medicine ·M Bybourdi, Kristján Norland, Mohammadreza Naderian, Daniel J. Schaid, Iftikhar J. Kullo	2024	1
3	Breast Cancer Polygenic-Risk Score Influence on Risk-Reducing Endocrine Therapy Use: Genetic Risk Estimate (GENRE) Trial 1-Year and 2-Year Follow-Up Cancer Prevention Research ·Daniela Stan, Allwin Jimmis Kallungal, Daniel J. Schaid, Erin E. Carlson, Christina Kim, Jason P. Sinnwell, Fergus J. Couch, Celine M. Vachon, Andrew Cooke, Benjamin A. Goldenberg, Sandhya Pruthi	2023	1
4	Principles and methods for transferring polygenic risk scores across global populations Nature Reviews Genetics ·Linda Kachuri, Nilanjan Chatterjee, Jibril Hirbo, Daniel J. Schaid, Iman K. Martin, Iftikhar J. Kullo, Eimear E. Kenny, Bogdan Paşaniuc, Paul L. Auer, Matthew P. Conomos, David V. Conti, Yi Ding, Ying Wang, Haoyu Zhang, Yuji Zhang, John S. Witte, Tian Ge Hit paper breakdown →	2023	103
5	Impact of Personalized Genetic Breast Cancer Risk Estimation With Polygenic Risk Scores on Preventive Endocrine Therapy Intention and Uptake Cancer Prevention Research ·Allwin Jimmis Kallungal, Daniel J. Schaid, Celine M. Vachon, Andrew Cooke, Fergus J. Couch, Christina Kim, Jason P. Sinnwell, Linda Hasadsri, Daniela Stan, Benjamin A. Goldenberg, Lonzetta Neal, Debjani Grenier, Amy C. Degnim, A. Chakkaravarthi, Sandhya Pruthi	2020	10
6	An expanded variant list and assembly annotation identifies multiple novel coding and noncoding genes for prostate cancer risk using a normal prostate tissue eQTL data set PLoS ONE ·Melissa S. DeRycke, Melissa C. Larson, Asha Nair, Shannon K. McDonnell, Amy J. French, Lori S. Tillmans, Shaun M. Riska, Saurabh Baheti, Zachary C. Fogarty, Nicholas B. Larson, Daniel R. O’Brien, John C. Cheville, Liang Wang, Daniel J. Schaid, Stephen N. Thibodeau	2019	3
7	A small‐sample kernel association test for correlated data with application to microbiome association studies Genetic Epidemiology ·Xiang Zhan, Lingzhou Xue, Haotian Zheng, Anna Plantinga, Michael C. Wu, Daniel J. Schaid, Ni Zhao, Jun Chen	2018	24
8	Breast cancer chemoprevention pharmacogenomics: Deep sequencing and functional genomics of the ZNF423 and CTSO genes npj Breast Cancer ·Duan Liu, Ming‐Fen Ho, Daniel J. Schaid, Steven E. Scherer, Krishna R. Kalari, Mohan Liu, Joanna M. Biernacka, Vivien C. Yee, Jared M. Evans, Erin E. Carlson, Matthew P. Goetz, Michiaki Kubo, D. Lawrence Wickerham, Liewei Wang, James N. Ingle, Richard M. Weinshilboum	2017	11
9	Selective Estrogen Receptor Modulators and Pharmacogenomic Variation in ZNF423 Regulation of BRCA1 Expression: Individualized Breast Cancer Prevention Cancer Discovery ·James N. Ingle, Mohan Liu, D. Lawrence Wickerham, Daniel J. Schaid, Liewei Wang, Taisei Mushiroda, Michiaki Kubo, Joseph P. Costantino, Victor G. Vogel, Soonmyung Paik, Matthew P. Goetz, Matthew M. Ames, Gregory D. Jenkins, Anthony Batzler, Erin E. Carlson, David A. Flockhart, Norman Wolmark, Yusuke Nakamura, Richard M. Weinshilboum	2013	56
10	Genetic association with overall survival of taxane-treated lung cancer patients - a genome-wide association study in human lymphoblastoid cell lines followed by a clinical association study SHILAP Revista de lepidopterología ·Nifang Niu, Daniel J. Schaid, Ryan Abo, Krishna R. Kalari, Brooke L. Fridley, QiPing Feng, Gregory D. Jenkins, Anthony Batzler, Abra Brisbin, Julie M. Cunningham, Liang Li, Zhifu Sun, Ping Yang, Liewei Wang	2012	28
11	Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics The Pharmacogenomics Journal ·Yuan Ji, 焦清海, Scott J. Hebbring, Yubo Chai, G. Douglas Jenkins, Yuhe Hong, Karen Snyder, Maureen S. Drews, Zeruesenay Desta, David A. Flockhart, Taisei Mushiroda, Michiaki Kubo, Yoshimasa Nakamura, Naoyuki Kamatani, Daniel J. Schaid, Richard M. Weinshilboum, David A. Mrazek	2012	52
12	Genetic Variation Predicting Cisplatin Cytotoxicity Associated with Overall Survival in Lung Cancer Patients Receiving Platinum-Based Chemotherapy Clinical Cancer Research ·Xiang-Lin Tan, Ann M. Moyer, Brooke L. Fridley, Daniel J. Schaid, Nifang Niu, Anthony Batzler, Gregory D. Jenkins, Ryan Abo, Liang Li, Julie M. Cunningham, Zhifu Sun, Ping Yang, Liewei Wang	2011	82
13	Genomic Similarity and Kernel Methods I: Advancements by Building on Mathematical and Statistical Foundations Human Heredity ·Daniel J. Schaid	2010	67
14	Glutathione S -Transferase P1: Gene Sequence Variation and Functional Genomic Studies Cancer Research ·Ann M. Moyer, Oreste E. Salavaggione, 马利刚, Irene Moon, Bruce W. Eckloff, Michelle A.T. Hildebrandt, Daniel J. Schaid, Eric D. Wieben, Richard M. Weinshilboum	2008	64
15	Breast Cancer Risk Reduction and Membrane-Bound Catechol O -Methyltransferase Genetic Polymorphisms Cancer Research ·Yuan Ji, Janet E. Olson, Jianping Zhang, Michelle Hildebrandt, Liewei Wang, James N. Ingle, Zachary Fredericksen, Thomas A. Sellers, William H. Miller, J. Michael Dixon, Hiltrud Brauch, Michel Eichelbaum, Christina Justenhoven, Ute Hamann, Yon Ko, Thomas Brüning, Jenny Chang‐Claude, Shan Wang‐Gohrke, Daniel J. Schaid, Richard M. Weinshilboum	2008	36
16	Gemcitabine and Cytosine Arabinoside Cytotoxicity: Association with Lymphoblastoid Cell Expression Cancer Research ·Liang Li, Brooke L. Fridley, Krishna R. Kalari, Gregory D. Jenkins, Anthony Batzler, Stephanie L. Safgren, Michelle A.T. Hildebrandt, Matthew M. Ames, Daniel J. Schaid, Liewei Wang	2008	137
17	Glutathione S -Transferase T1 and M1: Gene Sequence Variation and Functional Genomics Clinical Cancer Research ·Ann M. Moyer, Oreste E. Salavaggione, Scott J. Hebbring, Irene Moon, Michelle A.T. Hildebrandt, Bruce W. Eckloff, Daniel J. Schaid, Eric D. Wieben, Richard M. Weinshilboum	2007	58
18	Strong Evidence of a Genetic Determinant for Mammographic Density, a Major Risk Factor for Breast Cancer Cancer Research ·Celine M. Vachon, Thomas A. Sellers, Erin E. Carlson, Julie M. Cunningham, Christopher A. Hilker, Regenia L. Smalley, Daniel J. Schaid, Linda E. Kelemen, Fergus J. Couch, V. Shane Pankratz	2007	58
19	Human Aromatase: Gene Resequencing and Functional Genomics Cancer Research ·X. Cynthia, Araba A. Adjei, Oreste E. Salavaggione, R. E. Lindgren, Linda L. Pelleymounter, Liewei Wang, Bruce W. Eckloff, Daniel J. Schaid, Eric D. Wieben, Alex A. Adjei, Richard M. Weinshilboum	2005	155
20	Randomized Trial of Doxorubicin Alone or Combined with Vincristine and Mitomycin C in Women with Metastatic Breast Cancer American Journal of Clinical Oncology ·James N. Ingle, J A Mailliard, Daniel J. Schaid, James E. Krook, James B. Gerstner, Masahiro Sawada, Robert F. Marschke, Hui Long, G McCormack, John Foley	1989	14

About Daniel J. Schaid

Daniel J. Schaid is a scholar working on Genetics, Cancer Research, Oncology, Statistics and Probability and Otorhinolaryngology, having authored 343 papers that have together received 20.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (98 papers), Genetic Mapping and Diversity in Plants and Animals (41 papers), Genetic and phenotypic traits in livestock (29 papers), Prostate Cancer Treatment and Research (27 papers), BRCA gene mutations in cancer (26 papers), Cancer Genomics and Diagnostics (24 papers), Genetic factors in colorectal cancer (22 papers) and Gene expression and cancer classification (19 papers). The work is most often cited by research in Genetics (7.6k citations), Cancer Research (3.4k citations), Pathology and Forensic Medicine (3.0k citations), Oncology (4.0k citations) and Neurology (1.7k citations). Daniel J. Schaid has collaborated with scholars based in United States, Japan and Belarus. Frequent co-authors include Shannon K. McDonnell, Stephen N. Thibodeau, Gregory A. Poland, Charles M. Rowland, Robert M. Jacobson, Julie M. Cunningham, Steve S. Sommer, Steven J. Jacobsen, Wenan Chen and Virginia V. Michels. Their work appears in journals such as Genetic Epidemiology, The American Journal of Human Genetics, Cancer, Mayo Clinic Proceedings and Cancer Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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