Shan Zha

121 total papers · 6.6k total citations
78 papers, 4.5k citations indexed

About

Shan Zha is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shan Zha has authored 78 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 36 papers in Oncology and 17 papers in Cancer Research. Recurrent topics in Shan Zha's work include DNA Repair Mechanisms (54 papers), PARP inhibition in cancer therapy (19 papers) and Cancer-related Molecular Pathways (15 papers). Shan Zha is often cited by papers focused on DNA Repair Mechanisms (54 papers), PARP inhibition in cancer therapy (19 papers) and Cancer-related Molecular Pathways (15 papers). Shan Zha collaborates with scholars based in United States, China and Netherlands. Shan Zha's co-authors include William B. Isaacs, Angelo M. De Marzo, Frederick W. Alt, Wenxia Jiang, William G. Nelson, Brian J. Lee, Demis Menolfi, Jun Luo, Vasan Yegnasubramanian and Xiangyu Liu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Shan Zha

76 papers receiving 4.5k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Shan Zha 3.2k 1.5k 945 657 617 78 4.5k
Soner Altiok 2.1k 0.6× 1.3k 0.8× 645 0.7× 754 1.1× 431 0.7× 60 3.5k
Oliver Stoeltzing 3.0k 0.9× 1.6k 1.0× 1.4k 1.4× 383 0.6× 537 0.9× 73 4.6k
Nicholas J. Donato 3.3k 1.0× 2.0k 1.3× 597 0.6× 602 0.9× 540 0.9× 111 6.7k
Diane R. Bielenberg 3.1k 1.0× 1.9k 1.2× 1.1k 1.2× 733 1.1× 502 0.8× 95 5.5k
Ranju Ralhan 3.9k 1.2× 2.1k 1.4× 1.3k 1.4× 466 0.7× 519 0.8× 156 6.1k
Michael Höcker 2.5k 0.8× 967 0.6× 436 0.5× 566 0.9× 375 0.6× 61 4.3k
Shigeo Sato 4.4k 1.3× 1.9k 1.3× 1.0k 1.1× 640 1.0× 565 0.9× 71 6.3k
E. Aubrey Thompson 3.2k 1.0× 1.5k 1.0× 1.2k 1.3× 502 0.8× 484 0.8× 112 5.0k
Roger R. Gomis 3.4k 1.1× 2.5k 1.6× 1.6k 1.7× 543 0.8× 885 1.4× 67 5.9k
Jonathan M. Kurie 3.2k 1.0× 1.9k 1.2× 998 1.1× 687 1.0× 1.2k 1.9× 101 5.3k

Countries citing papers authored by Shan Zha

Since Specialization
Citations

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

Fields of papers citing papers by Shan Zha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Zha

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Zha. A scholar is included among the top collaborators of Shan Zha 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 Shan Zha. Shan Zha 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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