Shirong Wang

69 total papers · 1.9k total citations
44 papers, 1.1k citations indexed

About

Shirong Wang is a scholar working on Hematology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shirong Wang has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 10 papers in Molecular Biology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shirong Wang's work include Hematopoietic Stem Cell Transplantation (11 papers), Acute Myeloid Leukemia Research (7 papers) and Adipose Tissue and Metabolism (6 papers). Shirong Wang is often cited by papers focused on Hematopoietic Stem Cell Transplantation (11 papers), Acute Myeloid Leukemia Research (7 papers) and Adipose Tissue and Metabolism (6 papers). Shirong Wang collaborates with scholars based in United States, China and India. Shirong Wang's co-authors include Eric E. Turner, Lely A. Quina, Natalia G. Kan, Huei-Sheng Vincent Chen, Joseph E. Marine, Teresa C. Leone, Daniel P. Judge, Prem Puri, Daniel P. Kelly and Jianyan Wen and has published in prestigious journals such as Nature, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Shirong Wang

41 papers receiving 1.1k citations

Hit Papers

Studying arrhythmogenic r... 2013 2026 2017 2021 2013 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
Shirong Wang 503 281 218 167 100 44 1.1k
Eliana Vigneti 559 1.1× 462 1.6× 137 0.6× 72 0.4× 71 0.7× 39 1.3k
Francesco Ferraro 478 1.0× 152 0.5× 96 0.4× 326 2.0× 136 1.4× 38 1.4k
Daniel González‐Nieto 809 1.6× 294 1.0× 50 0.2× 92 0.6× 67 0.7× 53 1.4k
Adam P. Croft 435 0.9× 230 0.8× 36 0.2× 90 0.5× 136 1.4× 48 1.4k
Alfred Stracher 466 0.9× 155 0.6× 89 0.4× 70 0.4× 50 0.5× 43 1.1k
Andrea Vettori 595 1.2× 220 0.8× 431 2.0× 34 0.2× 66 0.7× 43 1.5k
Fumihiko Okada 641 1.3× 256 0.9× 117 0.5× 15 0.1× 98 1.0× 48 1.4k
Robert S. Papay 348 0.7× 258 0.9× 72 0.3× 39 0.2× 68 0.7× 42 1.1k
E. Bäckman 238 0.5× 68 0.2× 57 0.3× 48 0.3× 71 0.7× 45 1.2k
Sanghoon Lee 183 0.4× 182 0.6× 106 0.5× 20 0.1× 93 0.9× 68 1.2k

Countries citing papers authored by Shirong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shirong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shirong Wang

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