Ren An

495 citations
14 papers · 391 · h-index 8

Impact in

Papers in

    • Orthopaedic implants and arthroplasty 2
    • Pancreatic function and diabetes 1
    • Bone Metabolism and Diseases 2
    • Metabolism, Diabetes, and Cancer 1

Ren An

13 papers receiving 376 citations

Peers

Ren An
Comparison fields: 5 of 72
  • Cancer Research 143
  • Immunology and Allergy 27
  • Pulmonary and Respiratory Medicine 90
  • Surgery 104
  • Immunology 48
Replace Natalie Bauer with:
Natalie Bauer United States
M.A. Witlox Netherlands
María Soledad Fernández‐García Spain
Gemma Aran Spain
Tara L. Sander United States
Georgi Guruli United States
Nidhi Gupta India
Huei‐Tzu Chien Taiwan
Carol M. Ford Canada
Michal Beránek Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Ren An

Since Specialization
Citations

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

Fields of papers citing papers by Ren An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ren An, 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 Ren An Line = papers co-authored together Ren An links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2005172
2 200598
3 200627
4 201524
5 201315
6 201815
7 201414
8 201613
9
[Preoperative evaluation of mesenteric vascular anatomy using 256 multi-slice computed tomography before laparoscopic surgery].
20116
10 20123
11 20242
12 20251
13
[Avascular necrosis of the femoral head:correlation of imaging and pathological findings].
20101
14 20250

About Ren An

Ren An is a scholar working on Surgery, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Rheumatology, having authored 14 papers that have together received 391 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (3 papers), MRI in cancer diagnosis (2 papers), Bone Metabolism and Diseases (2 papers), Bone and Joint Diseases (2 papers), Orthopaedic implants and arthroplasty (2 papers), Pancreatic function and diabetes (1 paper), Diabetes Management and Research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cancer Research (143 citations), Immunology and Allergy (27 citations), Pulmonary and Respiratory Medicine (90 citations), Surgery (104 citations) and Immunology (48 citations). Ren An has collaborated with scholars based in China and United States. Frequent co-authors include Chengcheng Hu, Guo‐Ping Shi, Jiusong Sun, Jian Liu, Peter Libby, Galina K. Sukhova, Likun Ma, Gregory Dolganov, Jintian Yang and Wei‐Hua Xu. Their work appears in journals such as Atherosclerosis, ACS Biomaterials Science & Engineering, OncoTargets and Therapy, World Journal of Gastroenterology and Diabetes Research and Clinical Practice.

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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