Meng Ren

3.3k citations
98 papers · 2.5k indexed · h-index 29

Impact in

Papers in

Meng Ren

94 papers receiving 2.5k citations

Peers

Meng Ren
Comparison fields: 5 of 128
  • Rehabilitation 710
  • Endocrinology, Diabetes and Metabolism 747
  • Occupational Therapy 170
  • Cancer Research 351
  • Clinical Biochemistry 131
Replace Joanne T. M. Tan with:
Joanne T. M. Tan Australia
Antonino Saitta Italy
Ioanna Eleftheriadou Greece
Mohamed A. Zayed United States
Bernd Stratmann Germany
Toshinori Murayama Japan
Liyun Zhang China
C Götting Germany
C. Keith Ozaki United States
Jason D. Gardner United States
Meng Ren relative to Joanne T. M. Tan Australia Joanne T. M. Tan's profile →
Citations per field
00.5×4.7×
Joanne T. M. Tan · 1×
Citations per year

Countries citing papers authored by Meng Ren

Since Specialization
Citations

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

Fields of papers citing papers by Meng Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014186
2 2013161
3 2018140
4 2021128
5 2017103
6 201198
7 202190
8 201674
9 201973
10 201458
11 200956
12 201953
13 201952
14 201452
15 201047
16 201647
17 201446
18 201545
19 202044
20 201744

About Meng Ren

Meng Ren is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Rehabilitation, Epidemiology and Cancer Research, having authored 98 papers that have together received 2.5k indexed citations. Recurring topics across this work include Wound Healing and Treatments (25 papers), Diabetic Foot Ulcer Assessment and Management (16 papers), Liver Disease Diagnosis and Treatment (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Chronic Kidney Disease and Diabetes (8 papers), Pressure Ulcer Prevention and Management (7 papers), Cancer-related molecular mechanisms research (7 papers) and Diabetes Treatment and Management (6 papers). The work is most often cited by research in Rehabilitation (710 citations), Endocrinology, Diabetes and Metabolism (747 citations), Occupational Therapy (170 citations), Cancer Research (351 citations) and Clinical Biochemistry (131 citations). Meng Ren has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Li Yan, Kan Sun, Chuan Yang, Chuan Yang, Yan Li, Diaozhu Lin, Guojuan Lao, Xiaoyi Wang, Ping Zhu and Yiqin Qi. Their work appears in journals such as Frontiers in Endocrinology, Diabetes, BMC Endocrine Disorders, Aging and Clinical Nutrition.

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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