Jing Ren

1.0k citations
59 papers · 607 · h-index 17

Impact in

Papers in

Jing Ren

49 papers receiving 601 citations

Peers

Jing Ren
Comparison fields: 5 of 97
  • Oncology 160
  • Transplantation 13
  • Otorhinolaryngology 18
  • Pulmonary and Respiratory Medicine 118
  • Pathology and Forensic Medicine 54
Replace Neha Singh with:
Neha Singh India
Christodoulos Flordellis Greece
Veit J. Erpenbeck Switzerland
Toshiyuki Nakamura Japan
Anna Walaszczyk Poland
Wen Si China
Manabu Haga Japan
Elżbieta Korobowicz Poland
Jean Marie Ruddy United States
Miho Hida Japan
Jing Ren relative to Neha Singh India Neha Singh's profile →
Citations per field
00.5×1.5×2.5×
Neha Singh · 1×
Citations per year

Countries citing papers authored by Jing Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jing Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jing Ren Line = papers co-authored together Jing Ren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202380
2 201648
3 202135
4 201632
5 201430
6 201019
7 201919
8 202219
9 202119
10 201118
11 202018
12 201918
13 202317
14 202217
15 202317
16 202216
17 202316
18 201615
19 201713
20 201511

About Jing Ren

Jing Ren is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 59 papers that have together received 607 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Acute Ischemic Stroke Management (6 papers), Catalytic C–H Functionalization Methods (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Glaucoma and retinal disorders (4 papers). The work is most often cited by research in Oncology (160 citations), Transplantation (13 citations), Otorhinolaryngology (18 citations), Pulmonary and Respiratory Medicine (118 citations) and Pathology and Forensic Medicine (54 citations). Jing Ren has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Junping Wei, Huimin Li, Yusi Li, Jing Li, Xiaoyu Dong, Kaizhi Li, Weimin Li, Jianfei Nao, Bojiang Chen and Ping Zhou. Their work appears in journals such as Cell Transplantation, Frontiers in Neurology, Organic Chemistry Frontiers, Clinical Cancer Research and International Journal of Medical Sciences.

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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