David R. Crosslin

12.4k total citations
64 papers, 2.4k citations indexed

About

David R. Crosslin is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, David R. Crosslin has authored 64 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 20 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in David R. Crosslin's work include Genetic Associations and Epidemiology (17 papers), Genomics and Rare Diseases (7 papers) and BRCA gene mutations in cancer (6 papers). David R. Crosslin is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Genomics and Rare Diseases (7 papers) and BRCA gene mutations in cancer (6 papers). David R. Crosslin collaborates with scholars based in United States, United Kingdom and New Zealand. David R. Crosslin's co-authors include Svati H. Shah, Carol Haynes, Elizabeth R. Hauser, William E. Kraus, Gail P. Jarvik, Sarah C. Nelson, James R. Bain, Michael J. Muehlbauer, Christopher B. Newgard and Geoffrey S. Ginsburg and has published in prestigious journals such as Circulation, Nature Communications and Bioinformatics.

In The Last Decade

David R. Crosslin

62 papers receiving 2.4k citations

Peers

David R. Crosslin
Bermseok Oh South Korea
James Blackshaw United Kingdom
C. Charles Gu United States
Bing Yu United States
Ayo P. Doumatey United States
Norman P. Gerry United States
Rasika A. Mathias United States
Aldi T. Kraja United States
Anubha Mahajan United Kingdom
Renu Saxena India
Bermseok Oh South Korea
David R. Crosslin
Citations per year, relative to David R. Crosslin David R. Crosslin (= 1×) peers Bermseok Oh

Countries citing papers authored by David R. Crosslin

Since Specialization
Citations

This map shows the geographic impact of David R. Crosslin'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 David R. Crosslin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Crosslin more than expected).

Fields of papers citing papers by David R. Crosslin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Crosslin. 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 David R. Crosslin. The network helps show where David R. Crosslin may publish in the future.

Co-authorship network of co-authors of David R. Crosslin

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Crosslin. A scholar is included among the top collaborators of David R. Crosslin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David R. Crosslin. David R. Crosslin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Crosslin, David R., Sean D. Mooney, Eric D. Morrell, et al.. (2023). Evaluating construct validity of computable acute respiratory distress syndrome definitions in adults hospitalized with COVID-19: an electronic health records based approach. BMC Pulmonary Medicine. 23(1). 292–292. 6 indexed citations
2.
Amendola, Laura M., Tia L. Kauffman, Kathleen F. Mittendorf, et al.. (2022). Lessons learned and recommendations for data coordination in collaborative research: The CSER consortium experience. Human Genetics and Genomics Advances. 3(3). 100120–100120. 6 indexed citations
3.
Gordon, Allan, Elisabeth A. Rosenthal, David Carrell, et al.. (2019). Rates of Actionable Genetic Findings in Individuals with Colorectal Cancer or Polyps Ascertained from a Community Medical Setting. The American Journal of Human Genetics. 105(3). 526–533. 1 indexed citations
4.
Glessner, Joseph, Jin Li, Melody R. Palmer, et al.. (2019). CNV Association of Diverse Clinical Phenotypes from eMERGE reveals novel disease biology underlying cardiovascular disease. International Journal of Cardiology. 298. 107–113. 6 indexed citations
5.
Rosenthal, Elisabeth A., Vahagn Makaryan, Amber Burt, et al.. (2016). Association Between Absolute Neutrophil Count and Variation at TCIRG1: The NHLBI Exome Sequencing Project. Genetic Epidemiology. 40(6). 470–474. 9 indexed citations
6.
Kim, Daniel Seung, Jerry H. Kim, Amber Burt, et al.. (2015). Burden of potentially pathologic copy number variants is higher in children with isolated congenital heart disease and significantly impairs covariate-adjusted transplant-free survival. Journal of Thoracic and Cardiovascular Surgery. 151(4). 1147–1151.e4. 56 indexed citations
7.
Crawford, Dana C., David R. Crosslin, Gerard Tromp, et al.. (2014). eMERGEing progress in genomics—the first seven years. Frontiers in Genetics. 5. 184–184. 50 indexed citations
8.
Verma, Shefali S., Mariza de Andrade, Gerard Tromp, et al.. (2014). Imputation and quality control steps for combining multiple genome-wide datasets. Frontiers in Genetics. 5. 370–370. 75 indexed citations
9.
Shameer, Khader, Joshua C. Denny, Keyue Ding, et al.. (2013). A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects. Human Genetics. 133(1). 95–109. 98 indexed citations
10.
Lobach, David F., Kensaku Kawamoto, Kevin J. Anstrom, et al.. (2013). A Randomized Trial of Population-Based Clinical Decision Support to Manage Health and Resource Use for Medicaid Beneficiaries. Journal of Medical Systems. 37(1). 9922–9922. 10 indexed citations
11.
Shah, Svati H., David R. Crosslin, Carol Haynes, et al.. (2011). Branched-chain amino acid levels are associated with improvement in insulin resistance with weight loss. Diabetologia. 55(2). 321–330. 280 indexed citations
12.
Kullo, Iftikhar J., Keyue Ding, Khader Shameer, et al.. (2011). Complement Receptor 1 Gene Variants Are Associated with Erythrocyte Sedimentation Rate. The American Journal of Human Genetics. 89(1). 131–138. 44 indexed citations
13.
Kho, Abel, M. Geoffrey Hayes, Laura J. Rasmussen‐Torvik, et al.. (2011). Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study. Journal of the American Medical Informatics Association. 19(2). 212–218. 216 indexed citations
14.
Crosslin, David R., Xuejun Qin, & Elizabeth R. Hauser. (2010). Assessment of LD Matrix Measures for the Analysis of Biological Pathway Association. Statistical Applications in Genetics and Molecular Biology. 9(1). Article35–Article35. 3 indexed citations
15.
Zhang, Lisheng, Jessica J. Connelly, Karsten Peppel, et al.. (2010). Aging-related atherosclerosis is exacerbated by arterial expression of tumor necrosis factor receptor-1: evidence from mouse models and human association studies. Human Molecular Genetics. 19(14). 2754–2766. 35 indexed citations
16.
Shah, Svati H., Jie‐Lena Sun, Karen S. Pieper, et al.. (2009). Abstract 1261: Plasma Metabolomic Profiles Predict Future Cardiovascular Events. Circulation. 120. 1 indexed citations
17.
Crosslin, David R., Svati H. Shah, Sarah C. Nelson, et al.. (2009). Genetic effects in the leukotriene biosynthesis pathway and association with atherosclerosis. Human Genetics. 125(2). 217–229. 46 indexed citations
18.
Shah, Svati H., Elizabeth R. Hauser, David R. Crosslin, et al.. (2008). ALOX5AP variants are associated with in-stent restenosis after percutaneous coronary intervention. Atherosclerosis. 201(1). 148–154. 18 indexed citations
19.
Eisenstein, Eric L., et al.. (2005). Developing a framework for conducting economic evaluations of community-based health information technology interventions.. PubMed. 948–948. 1 indexed citations
20.
Eisenstein, Eric L., et al.. (2005). Assessing the potential economic value of health information technology interventions in a community-based health network.. PubMed. 221–5. 3 indexed citations

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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