Jing Peng

29 total papers · 765 total citations
24 papers, 519 citations indexed

About

Jing Peng is a scholar working on Oncology, Immunology and Reproductive Medicine. According to data from OpenAlex, Jing Peng has authored 24 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Immunology and 6 papers in Reproductive Medicine. Recurrent topics in Jing Peng's work include Ovarian cancer diagnosis and treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Jing Peng is often cited by papers focused on Ovarian cancer diagnosis and treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Jing Peng collaborates with scholars based in China and France. Jing Peng's co-authors include Marie Evangelista, Timothy R. Wilson, Debasish Raha, David Peterson, Mark Merchant, Yue Peng, Jeff Settleman, Catherine Wilson, Xiaohong Lin and Li Zhu and has published in prestigious journals such as Cancer Research, Food Chemistry and ACS Applied Materials & Interfaces.

In The Last Decade

Jing Peng

23 papers receiving 512 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Peng 206 190 113 68 61 24 519
Zhongqi Li 220 1.1× 158 0.8× 88 0.8× 44 0.6× 45 0.7× 20 515
Balaji Ramachandran 297 1.4× 161 0.8× 109 1.0× 78 1.1× 50 0.8× 23 595
Xeni Provatopoulou 226 1.1× 124 0.7× 139 1.2× 97 1.4× 76 1.2× 22 594
Danielle L. Brooks 218 1.1× 130 0.7× 111 1.0× 81 1.2× 43 0.7× 15 448
Tao Song 238 1.2× 108 0.6× 140 1.2× 82 1.2× 54 0.9× 28 496
Jing Han 353 1.7× 104 0.5× 102 0.9× 36 0.5× 84 1.4× 32 561
Xinxin Mao 239 1.2× 94 0.5× 137 1.2× 39 0.6× 36 0.6× 35 534
Mingen Lin 194 0.9× 172 0.9× 57 0.5× 79 1.2× 47 0.8× 17 456
Mohamed Saiel Saeed Alhamdani 235 1.1× 119 0.6× 89 0.8× 69 1.0× 24 0.4× 19 515
Xiaoxing Yu 271 1.3× 141 0.7× 47 0.4× 69 1.0× 55 0.9× 27 551

Countries citing papers authored by Jing Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jing Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Peng

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