Peng Jin

104 total papers · 1.5k total citations
57 papers, 1.0k citations indexed

About

Peng Jin is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Peng Jin has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 14 papers in Oncology and 13 papers in Surgery. Recurrent topics in Peng Jin's work include Gastric Cancer Management and Outcomes (14 papers), Metastasis and carcinoma case studies (7 papers) and Inflammatory Biomarkers in Disease Prognosis (6 papers). Peng Jin is often cited by papers focused on Gastric Cancer Management and Outcomes (14 papers), Metastasis and carcinoma case studies (7 papers) and Inflammatory Biomarkers in Disease Prognosis (6 papers). Peng Jin collaborates with scholars based in China, United States and Japan. Peng Jin's co-authors include Tsukasa Baba, Ikuo Konishi, Masaki Mandai, Kaoru Abiko, Susan K. Murphy, Noriomi Matsumura, Junzo Hamanishi, Ken Yamaguchi, Yuko Hosoe and Kumuruz Murat and has published in prestigious journals such as PLoS ONE, Cancer Research and International Journal of Cancer.

In The Last Decade

Peng Jin

53 papers receiving 1.0k citations

Hit Papers

Chemotherapy Induces Prog... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Peng Jin 565 304 272 146 141 57 1.0k
Marie Robert 397 0.7× 460 1.5× 205 0.8× 171 1.2× 223 1.6× 77 1.2k
Yinghua Zhang 697 1.2× 316 1.0× 171 0.6× 71 0.5× 125 0.9× 47 1.2k
Naoe Goto 395 0.7× 238 0.8× 190 0.7× 203 1.4× 199 1.4× 66 1.2k
Atsushi Oyama 314 0.6× 202 0.7× 168 0.6× 166 1.1× 144 1.0× 73 1.0k
Charalampos S. Floudas 665 1.2× 236 0.8× 199 0.7× 167 1.1× 156 1.1× 63 1.1k
Ciara M. Kelly 512 0.9× 124 0.4× 495 1.8× 181 1.2× 134 1.0× 63 1.1k
Herbert Stöger 555 1.0× 247 0.8× 256 0.9× 197 1.3× 164 1.2× 68 1.1k
Jiajia Zhang 854 1.5× 281 0.9× 316 1.2× 110 0.8× 246 1.7× 57 1.2k
Nobuhiro Kanemura 328 0.6× 199 0.7× 145 0.5× 139 1.0× 248 1.8× 69 1.0k
Tian Tian 272 0.5× 128 0.4× 238 0.9× 85 0.6× 228 1.6× 68 880

Countries citing papers authored by Peng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Peng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Jin

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