Max M. He

2.4k total citations · 1 hit paper
31 papers, 1.5k citations indexed

About

Max M. He is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Max M. He has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Max M. He's work include Cardiovascular Health and Disease Prevention (6 papers), Genomics and Rare Diseases (5 papers) and Cancer Genomics and Diagnostics (5 papers). Max M. He is often cited by papers focused on Cardiovascular Health and Disease Prevention (6 papers), Genomics and Rare Diseases (5 papers) and Cancer Genomics and Diagnostics (5 papers). Max M. He collaborates with scholars based in United States, China and United Kingdom. Max M. He's co-authors include Lloyd E. Chambless, Christie M. Ballantyne, Aaron R. Folsom, Eric Boerwinkle, Vijay Nambi, Kelly A. Volcik, Yi‐Juan Hu, Tom Mosley, Karen He and Dongliang Ge and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Cancer Research.

In The Last Decade

Max M. He

29 papers receiving 1.5k citations

Hit Papers

Carotid Intima-Media Thickness and Presence or Absence of... 2010 2026 2015 2020 2010 200 400 600
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.

  1. Carotid Intima-Media Thickness and Presence or Absence of Plaque Improves Prediction of Coronary Heart Disease Risk
    2010 669 citations Vijay Nambi, Lloyd E. Chambless et al. Journal of the American College of Cardiology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Max M. He United States 18 926 410 227 199 193 31 1.5k
Àngels Betriu Spain 24 544 0.6× 446 1.1× 257 1.1× 203 1.0× 161 0.8× 75 1.7k
Daniel H. Katz United States 19 1.3k 1.4× 316 0.8× 171 0.8× 256 1.3× 232 1.2× 46 1.9k
Ladislav Pecen Czechia 26 772 0.8× 713 1.7× 424 1.9× 179 0.9× 273 1.4× 132 2.5k
Hesong Zeng China 20 696 0.8× 243 0.6× 303 1.3× 242 1.2× 107 0.6× 81 1.5k
Noriaki Iwahashi Japan 27 1.1k 1.2× 332 0.8× 748 3.3× 543 2.7× 135 0.7× 151 2.0k
Shinya Yokoyama Japan 22 562 0.6× 391 1.0× 585 2.6× 243 1.2× 204 1.1× 116 1.5k
Jaewon Choe South Korea 24 381 0.4× 251 0.6× 455 2.0× 152 0.8× 670 3.5× 88 1.9k
Matthew W. Segar United States 21 755 0.8× 119 0.3× 138 0.6× 120 0.6× 110 0.6× 68 1.6k
Achuta Kumar Guddati United States 18 284 0.3× 206 0.5× 194 0.9× 87 0.4× 122 0.6× 101 1.2k

Countries citing papers authored by Max M. He

Since Specialization
Citations

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

Fields of papers citing papers by Max M. He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max M. He

This figure shows the co-authorship network connecting the top 25 collaborators of Max M. He. A scholar is included among the top collaborators of Max M. 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 Max M. He. Max M. He 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.
2.
Tan, Yu Pei, Kangjun Wang, Mingming Guo, et al.. (2025). Metabolomics profiling reveals p-aminobenzoic acid enhances resistance to Fusarium head blight in wheat. Food Production Processing and Nutrition. 7(1). 1 indexed citations
3.
Deng, Lulu, Max M. He, Yue‐Hu Wang, et al.. (2025). Discovery of a novel Genipin derivative targeting YB-1 to enhance the P-glycoprotein-mediated paclitaxel sensitivity of paclitaxel-resistant non-small cell lung cancer. European Journal of Medicinal Chemistry. 297. 117910–117910. 1 indexed citations
4.
He, Max M., Haifeng Xu, Shang‐Yu Wang, et al.. (2024). Effects of foot reflexology on disease. World Journal of Clinical Cases. 12(35). 6851–6854.
5.
He, Max M., Quan Li, Karen He, et al.. (2019). Variant Interpretation for Cancer (VIC): a computational tool for assessing clinical impacts of somatic variants. Genome Medicine. 11(1). 53–53. 37 indexed citations
6.
Li, Yan, Yidong Zhou, Feng Mao, et al.. (2017). Tumoral expression of drug and xenobiotic metabolizing enzymes in breast cancer patients of different ethnicities with implications to personalized medicine. Scientific Reports. 7(1). 4747–4747. 43 indexed citations
7.
Shi, Yanxia, Ye Cao, Jianan Wang, et al.. (2016). Integrative Comparison of mRNA Expression Patterns in Breast Cancers from Caucasian and Asian Americans with Implications for Precision Medicine. Cancer Research. 77(2). 423–433. 18 indexed citations
8.
He, Karen, Yiqing Zhao, Elizabeth McPherson, et al.. (2016). Pathogenic Mutations in Cancer-Predisposing Genes: A Survey of 300 Patients with Whole-Genome Sequencing and Lifetime Electronic Health Records. PLoS ONE. 11(12). e0167847–e0167847. 4 indexed citations
9.
Badhwar, Vinay, J. Scott Rankin, Max M. He, et al.. (2016). Performing Concomitant Tricuspid Valve Repair at the Time of Mitral Valve Operations Is Not Associated With Increased Operative Mortality. The Annals of Thoracic Surgery. 103(2). 587–593. 79 indexed citations
10.
Carter, Tonia C. & Max M. He. (2016). Challenges of Identifying Clinically Actionable Genetic Variants for Precision Medicine. Journal of Healthcare Engineering. 2016. 1–14. 27 indexed citations
11.
Bansal, Naveen K., Xiang Li, Max M. He, et al.. (2016). The Decay of Disease Association with Declining Linkage Disequilibrium: A Fine Mapping Theorem. Frontiers in Genetics. 7. 217–217. 2 indexed citations
12.
Tafti, Ahmad P., et al.. (2016). 3DSEM++: Adaptive and intelligent 3D SEM surface reconstruction. Micron. 87. 33–45. 26 indexed citations
13.
14.
Schrodi, Steven J., Andrea E. DeBarber, Max M. He, et al.. (2015). Prevalence estimation for monogenic autosomal recessive diseases using population-based genetic data. Human Genetics. 134(6). 659–669. 24 indexed citations
15.
Suri, Rakesh M., Vinod H. Thourani, Brian R. Englum, et al.. (2014). The Expanding Role of Mitral Valve Repair in Triple Valve Operations: Contemporary North American Outcomes in 8,021 Patients. The Annals of Thoracic Surgery. 97(5). 1513–1519. 10 indexed citations
16.
Chang, Patricia P., Lloyd E. Chambless, Eyal Shahar, et al.. (2013). Incidence and Survival of Hospitalized Acute Decompensated Heart Failure in Four US Communities (from the Atherosclerosis Risk in Communities Study). The American Journal of Cardiology. 113(3). 504–510. 75 indexed citations
17.
Agarwal, Sunil, Lloyd E. Chambless, Christie M. Ballantyne, et al.. (2012). Prediction of Incident Heart Failure in General Practice. Circulation Heart Failure. 5(4). 422–429. 178 indexed citations
18.
Bielinski, Suzette J., Jennifer L. Hall, James S. Pankow, et al.. (2011). Genetic variants in TLR2 and TLR4 are associated with markers of monocyte activation: the Atherosclerosis Risk in Communities MRI Study. Human Genetics. 129(6). 655–662. 22 indexed citations
19.
Nambi, Vijay, Lloyd E. Chambless, Max M. He, et al.. (2010). COMMON CAROTID ARTERY INTIMA MEDIA THICKNESS ALONE IS COMPARABLE TO CAROTID INTIMA MEDIA THICKNESS OF ALL CAROTID ARTERY SEGMENTS IN IMPROVING CORONARY HEART DISEASE RISK PREDICTION IN THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY. Journal of the American College of Cardiology. 55(10). A137.E1284–A137.E1284. 2 indexed citations
20.
Nambi, Vijay, Lloyd E. Chambless, Aaron R. Folsom, et al.. (2010). Carotid Intima-Media Thickness and Presence or Absence of Plaque Improves Prediction of Coronary Heart Disease Risk. Journal of the American College of Cardiology. 55(15). 1600–1607. 669 indexed citations breakdown →

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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