Kan He

979 total citations · 1 hit paper
8 papers, 797 citations indexed

About

Kan He is a scholar working on Cardiology and Cardiovascular Medicine, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Kan He has authored 8 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Computer Networks and Communications and 2 papers in Molecular Biology. Recurrent topics in Kan He's work include Atrial Fibrillation Management and Outcomes (3 papers), Cloud Computing and Resource Management (2 papers) and Receptor Mechanisms and Signaling (2 papers). Kan He is often cited by papers focused on Atrial Fibrillation Management and Outcomes (3 papers), Cloud Computing and Resource Management (2 papers) and Receptor Mechanisms and Signaling (2 papers). Kan He collaborates with scholars based in United States, Germany and China. Kan He's co-authors include Donglu Zhang, Shiang-Yuan Chen, Nirmala Raghavan, Donald Pinto, Pancras C. Wong, W. Griffith Humphreys, Samuel J. Bonacorsi, Haiying Zhang, Charles Frost and Zhigang Yu and has published in prestigious journals such as Drug Metabolism and Disposition, Bioorganic & Medicinal Chemistry Letters and European Journal of Drug Metabolism and Pharmacokinetics.

In The Last Decade

Kan He

5 papers receiving 765 citations

Hit Papers

Apixaban Metabolism and Pharmacokinetics after Oral Admin... 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kan He United States 5 654 440 107 73 57 8 797
Jan Stampfuss Germany 7 628 1.0× 391 0.9× 66 0.6× 71 1.0× 142 2.5× 8 837
Janice Pursley United States 14 772 1.2× 481 1.1× 55 0.5× 86 1.2× 33 0.6× 25 1.1k
Shiang-Yuan Chen United States 8 587 0.9× 405 0.9× 129 1.2× 69 0.9× 40 0.7× 12 845
Stefan Blech Germany 6 450 0.7× 289 0.7× 81 0.8× 126 1.7× 62 1.1× 8 771
Margaretha Grind Sweden 14 799 1.2× 410 0.9× 98 0.9× 109 1.5× 44 0.8× 21 1.0k
Nirmala Raghavan United States 12 684 1.0× 458 1.0× 218 2.0× 82 1.1× 49 0.9× 17 1.1k
Sunil Nepal United States 7 489 0.7× 315 0.7× 35 0.3× 50 0.7× 50 0.9× 13 606
Barbara Voith Germany 9 1.1k 1.7× 919 2.1× 114 1.1× 160 2.2× 230 4.0× 15 1.5k
Petra Laeis Germany 18 1.0k 1.6× 301 0.7× 33 0.3× 167 2.3× 25 0.4× 45 1.2k
Ma Luisa Suárez‐Gea Spain 15 600 0.9× 506 1.1× 17 0.2× 137 1.9× 87 1.5× 26 931

Countries citing papers authored by Kan He

Since Specialization
Citations

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

Fields of papers citing papers by Kan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan He

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

All Works

8 of 8 papers shown
1.
He, Kan, Zhimeng Yin, Gianni Antichi, et al.. (2025). Enabling Virtual Priority in Data Center Congestion Control. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 396–412.
2.
Wu, Wenfei, Kan He, Yu-Hsiang Kao, et al.. (2025). SGLB: Scalable and Robust Global Load Balancing in Commodity AI Clusters. 626–644.
3.
He, Kan, Jian Wang, Xiaoliang Wang, et al.. (2025). Marlin: Enabling High-Throughput Congestion Control Testing in Large-Scale Networks. 460–474.
4.
Orwat, Michael J., Jennifer X. Qiao, Kan He, et al.. (2014). Orally bioavailable factor Xa inhibitors containing alpha-substituted gem-dimethyl P4 moieties. Bioorganic & Medicinal Chemistry Letters. 24(15). 3341–3345. 7 indexed citations
5.
He, Kan, Joseph M. Luettgen, Donglu Zhang, et al.. (2011). Preclinical pharmacokinetics and pharmacodynamics of apixaban, a potent and selective factor Xa inhibitor. European Journal of Drug Metabolism and Pharmacokinetics. 36(3). 129–139. 71 indexed citations
6.
Wang, Lifei, Donglu Zhang, Nirmala Raghavan, et al.. (2009). In Vitro Assessment of Metabolic Drug-Drug Interaction Potential of Apixaban through Cytochrome P450 Phenotyping, Inhibition, and Induction Studies. Drug Metabolism and Disposition. 38(3). 448–458. 212 indexed citations
7.
Raghavan, Nirmala, Charles Frost, Zhigang Yu, et al.. (2008). Apixaban Metabolism and Pharmacokinetics after Oral Administration to Humans. Drug Metabolism and Disposition. 37(1). 74–81. 490 indexed citations breakdown →
8.
Qiao, Jennifer X., Tammy C. Wang, Daniel L. Cheney, et al.. (2007). Enantiopure five-membered cyclicdiamine derivatives as potent and selective inhibitors of factor Xa. Improving in vitro metabolic stability via core modifications. Bioorganic & Medicinal Chemistry Letters. 17(18). 5041–5048. 17 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026