Ming Yin

121 total papers · 5.1k total citations
80 papers, 3.1k citations indexed

About

Ming Yin is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ming Yin has authored 80 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 31 papers in Oncology and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ming Yin's work include Bladder and Urothelial Cancer Treatments (16 papers), Renal cell carcinoma treatment (12 papers) and DNA Repair Mechanisms (11 papers). Ming Yin is often cited by papers focused on Bladder and Urothelial Cancer Treatments (16 papers), Renal cell carcinoma treatment (12 papers) and DNA Repair Mechanisms (11 papers). Ming Yin collaborates with scholars based in United States, China and Australia. Ming Yin's co-authors include Qingyi Wei, Darryl C. Zeldin, Samuel J. Arbes, Richard D. Cohn, Joseph J. Drabick, Li‐E Wang, Peter S. Thorne, Katarina Kulhánková, Monika Joshi and Zhongxing Liao and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Ming Yin

76 papers receiving 3.0k citations

Hit Papers

Neoadjuvant Chemotherapy ... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ming Yin 1.3k 1.1k 691 654 395 80 3.1k
Mats G. Karlsson 844 0.7× 745 0.7× 666 1.0× 421 0.6× 448 1.1× 96 2.6k
Michael Huncharek 469 0.4× 810 0.8× 538 0.8× 967 1.5× 303 0.8× 74 3.1k
Felice Pasini 751 0.6× 1.6k 1.5× 701 1.0× 1.5k 2.3× 474 1.2× 119 3.5k
J. H. C. Ho 570 0.4× 1.9k 1.8× 1.2k 1.7× 773 1.2× 482 1.2× 63 3.9k
Aizen J. Marrogi 1.1k 0.9× 1.2k 1.2× 550 0.8× 482 0.7× 403 1.0× 63 3.7k
Charles Kuhn 548 0.4× 271 0.3× 414 0.6× 1.5k 2.3× 311 0.8× 65 2.8k
Kevin H. Eng 1.1k 0.9× 748 0.7× 298 0.4× 621 0.9× 442 1.1× 98 2.8k
Fulvio Lonardo 1.3k 1.0× 1.4k 1.3× 339 0.5× 1.4k 2.2× 456 1.2× 79 3.4k
Raymond Tubbs 817 0.6× 939 0.9× 302 0.4× 376 0.6× 367 0.9× 72 2.5k
Fernand Mac–Moune Lai 834 0.6× 463 0.4× 547 0.8× 375 0.6× 448 1.1× 98 3.5k

Countries citing papers authored by Ming Yin

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yin

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