Shi‐Shan Mao

20 total papers · 1.0k total citations
18 papers, 616 citations indexed

About

Shi‐Shan Mao is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Shi‐Shan Mao has authored 18 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Hematology. Recurrent topics in Shi‐Shan Mao's work include Blood Coagulation and Thrombosis Mechanisms (7 papers), Peptidase Inhibition and Analysis (6 papers) and Protease and Inhibitor Mechanisms (3 papers). Shi‐Shan Mao is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (7 papers), Peptidase Inhibition and Analysis (6 papers) and Protease and Inhibitor Mechanisms (3 papers). Shi‐Shan Mao collaborates with scholars based in United States and Taiwan. Shi‐Shan Mao's co-authors include Stephen J. Gardell, Jules A. Shafer, Steven S. Carroll, Carolyn M. Cooper, Theresa Wood, Dennis Colussi, Joseph P. Vacca, Christine Burlein, Jacquelynn J. Cook and Che Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Shi‐Shan Mao

18 papers receiving 580 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shi‐Shan Mao 211 192 103 99 76 18 616
Kyle Elrod 269 1.3× 145 0.8× 110 1.1× 28 0.3× 63 0.8× 23 606
Girija Krishnamurthy 205 1.0× 45 0.2× 186 1.8× 107 1.1× 35 0.5× 17 659
Sadayappan V. Rahavendran 170 0.8× 25 0.1× 89 0.9× 101 1.0× 22 0.3× 18 505
Amit Shah 256 1.2× 150 0.8× 63 0.6× 40 0.4× 40 0.5× 29 538
Gaëlle Noé 242 1.1× 54 0.3× 41 0.4× 46 0.5× 31 0.4× 26 610
Anton Cheltsov 337 1.6× 24 0.1× 120 1.2× 42 0.4× 60 0.8× 19 634
Amina Haouala 147 0.7× 272 1.4× 39 0.4× 32 0.3× 21 0.3× 18 590
Ken Cheng 282 1.3× 59 0.3× 42 0.4× 33 0.3× 53 0.7× 20 543
R.M. Bandaranayake 260 1.2× 66 0.3× 33 0.3× 222 2.2× 66 0.9× 10 568
Geraldine Bebernitz 225 1.1× 41 0.2× 117 1.1× 91 0.9× 26 0.3× 25 600

Countries citing papers authored by Shi‐Shan Mao

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Shan Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi‐Shan Mao. 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 Shi‐Shan Mao. The network helps show where Shi‐Shan Mao may publish in the future.

Co-authorship network of co-authors of Shi‐Shan Mao

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

All Works

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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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