Yudong D. He

25.5k total citations · 3 hit papers
49 papers, 10.6k citations indexed

About

Yudong D. He is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Yudong D. He has authored 49 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Epidemiology. Recurrent topics in Yudong D. He's work include Gene expression and cancer classification (9 papers), Molecular Biology Techniques and Applications (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Yudong D. He is often cited by papers focused on Gene expression and cancer classification (9 papers), Molecular Biology Techniques and Applications (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Yudong D. He collaborates with scholars based in United States, China and Netherlands. Yudong D. He's co-authors include Hongyue Dai, Marc J. van de Vijver, Stephen Friend, Matthew J. Marton, René Bernards, Laura van ‘t Veer, Peter S. Linsley, Mao Mao, Chris Roberts and George J. Schreiber and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yudong D. He

48 papers receiving 10.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gene expression profiling predicts clinical outcome of breast cancer

2002 7.0k citations Laura van ‘t Veer, Hongyue Dai et al. profile →
Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival

2005 733 citations Howard Y. Chang, Dimitry S.A. Nuyten et al. Proceedings of the National Academy of Sciences profile →
Signaling and Circuitry of Multiple MAPK Pathways Revealed by a Matrix of Global Gene Expression Profiles

2000 691 citations Roland Stoughton, Yudong D. He et al. profile →

Peers

Countries citing papers authored by Yudong D. He

Since Specialization

Citations

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

Fields of papers citing papers by Yudong D. He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yudong D. He. 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 Yudong D. He. The network helps show where Yudong D. He may publish in the future.

Co-authorship network of co-authors of Yudong D. He

This figure shows the co-authorship network connecting the top 25 collaborators of Yudong D. He. A scholar is included among the top collaborators of Yudong D. He 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 Yudong D. He. Yudong D. He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A machine learning classifier using 33 host immune response mRNAs accurately distinguishes viral and non-viral acute respiratory illnesses in nasal swab samples 2023 ·Genome Medicine ·(unknown), Yudong D. He, Timothy E. Sweeney, Yehudit Hasin-Brumshtein, Purvesh Khatri	3
2	The Optimization and Biological Significance of a 29-Host-Immune-mRNA Panel for the Diagnosis of Acute Infections and Sepsis 2021 ·Journal of Personalized Medicine ·Yudong D. He, Eric M. Wohlford, Florian Uhle, Ljubomir Buturović, Oliver Liesenfeld, Timothy E. Sweeney	21
3	A Multi-mRNA Prognostic Signature for Anti-TNFα Therapy Response in Patients with Inflammatory Bowel Disease 2021 ·Diagnostics ·(unknown), Yehudit Hasin-Brumshtein, Purvesh Khatri, Yudong D. He, Timothy E. Sweeney	3
4	Multi-cohort analysis of host immune response identifies conserved protective and detrimental modules associated with severity across viruses 2021 ·Immunity ·Hong Zheng, Aditya Rao, Denis Đermadi, (unknown), (unknown), Michele Donato, Yiran E. Liu, Yapeng Su, Chengzhen L. Dai, Sergey A. Kornilov, (unknown), Theodoros Marantos, Yehudit Hasin-Brumshtein, Yudong D. He, Evangelos J. Giamarellos‐Bourboulis, James R. Heath, Purvesh Khatri	34
5	Transcriptomic similarities and differences in host response between SARS-CoV-2 and other viral infections 2020 ·iScience ·Simone A. Thair, Yudong D. He, Yehudit Hasin-Brumshtein, (unknown), (unknown), (unknown), David Rawling, (unknown), (unknown), George Ν. Dalekos, Ioannis Koutsodimitropoulos, Glykeria Vlachogianni, (unknown), Eleni Karakike, Georgia Damoraki, Nikolaos Antonakos, Purvesh Khatri, Evangelos J. Giamarellos‐Bourboulis, Timothy E. Sweeney	56
6	A compound attributes-based predictive model for drug induced liver injury in humans 2020 ·PLoS ONE ·(unknown), Hua Gao, Yudong D. He	5
7	Genome-scale metabolic model of the rat liver predicts effects of diet restriction 2019 ·Scientific Reports ·Priyanka Baloni, Vineet Sangar, James T. Yurkovich, Max Robinson, Scott L. Taylor, (unknown), Hisham K. Hamadeh, Yudong D. He, Nathan D. Price	9
8	Tissue distribution of naringin and derived metabolites in rats after a single oral administration 2019 ·Journal of Chromatography B ·Xuan Zeng, Hongliang Yao, Yuying Zheng, Yudong D. He, Yan He, (unknown), Peibo Li, Weiwei Su	35
9	Methylation pattern polymorphism of cyp19a in Nile tilapia and hybrids 2018 ·Open Life Sciences ·Xiaowu Chen, (unknown), Yudong D. He, Jinliang Zhao	3
10	Expression and DNA methylation analysis of cyp19a1a in Chinese sea perch Lateolabrax maculatus 2018 ·Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology ·Xiaowu Chen, Yudong D. He, Zhipeng Wang, Jun Li	11
11	Time-dependent cellular and transcriptional changes in the osteoblast lineage associated with sclerostin antibody treatment in ovariectomized rats 2015 ·Bone ·Scott L. Taylor, Michael S. Ominsky, Rong Hu, Efrain Pacheco, Yudong D. He, Danielle L. Brown, J. Ignacio Aguirre, Thomas J. Wronski, (unknown), Cynthia A. Afshari, Ian Pyrah, Paul Nioi, Rogely Boyce	77
12	Common Handling Procedures Conducted in Preclinical Safety Studies Result in Minimal Hepatic Gene Expression Changes in Sprague-Dawley Rats 2014 ·PLoS ONE ·Yudong D. He, (unknown), Jon M. Werner, Nancy Everds, (unknown), Yuan Chen, (unknown), (unknown), Cynthia A. Afshari, Hisham K. Hamadeh	5
13	A Novel Statistical Algorithm for Gene Expression Analysis Helps Differentiate Pregnane X Receptor-Dependent and Independent Mechanisms of Toxicity 2010 ·PLoS ONE ·(unknown), Robert T. Dunn, Steven Vonderfecht, Nancy Everds, Guang Chen, Cheng Su, (unknown), Yuan Chen, Cynthia A. Afshari, Toni Williamson, (unknown), Christopher DiPalma, (unknown), Jeanine L. Bussiere, Charles W. Qualls, Yudong D. He, Hisham K. Hamadeh	6
14	Identification of potential pharmacological and toxicological targets differentiating structural analogs by a combination of transcriptional profiling and promoter analysis in LS-180 and Caco-2 adenocarcinoma cell lines 2006 ·Pharmacogenetics and Genomics ·Dylan P. Hartley, Xudong Dai, Jocelyn Yabut, Xiaoyan Chu, (unknown), (unknown), Yudong D. He, Chris Roberts, Roger G. Ulrich, Raymond Evers, David C. Evans	30
15	Transcriptional and phenotypic comparisons of Ppara knockout and siRNA knockdown mice 2006 ·Nucleic Acids Research ·Angus T. De Souza, Xudong Dai, Andrew Spencer, (unknown), (unknown), P. Roesch, Yudong D. He, (unknown), (unknown), Hans Herweijer, Jon A. Wolff, James E. Hagstrom, David L. Lewis, Peter S. Linsley, Roger G. Ulrich	90
16	A Cell Proliferation Signature Is a Marker of Extremely Poor Outcome in a Subpopulation of Breast Cancer Patients 2005 ·Cancer Research ·Hongyue Dai, Laura van’t Veer, John R. Lamb, Yudong D. He, Mao Mao, Bernard M. Fine, René Bernards, Marc J. van de Vijver, Paul Deutsch, Alan B. Sachs, Roland Stoughton, Stephen Friend	207
17	Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival breakdown → 2005 ·Proceedings of the National Academy of Sciences ·Howard Y. Chang, Dimitry S.A. Nuyten, Julie B. Sneddon, Trevor Hastie, Robert Tibshirani, Thérese Sørlie, Hongyue Dai, Yudong D. He, Laura J. van’t Veer, Harry Bartelink, Matt van de Rijn, Patrick O. Brown, Marc J. van de Vijver	733
18	A protocol for building and evaluating predictors of disease state based on microarray data 2005 ·Computer applications in the biosciences ·Lodewyk F.A. Wessels, Marcel Reinders, A.A.M. Hart, Cor J. Veenman, (unknown), Yudong D. He, Laura van ‘t Veer	106
19	No common denominator for breast cancer lymph node metastasis 2005 ·British Journal of Cancer ·Britta Weigelt, Lodewyk F.A. Wessels, Astrid J Bosma, Annuska M. Glas, Dimitry S.A. Nuyten, Yudong D. He, (unknown), J. L. Peterse, Laura J. van’t Veer	71
20	T lymphocyte activation gene identification by coregulated expression on DNA microarrays 2004 ·Genomics ·Mao Mao, Matthew C. Biery, Sumire Kobayashi, (unknown), (unknown), Julja Burchard, Janell M. Schelter, Hongyue Dai, Yudong D. He, Peter S. Linsley	57

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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