Cheng Wan

3.0k citations
37 papers · 1.8k indexed · 1 hit paper · h-index 16

Impact in

  • Nephrology top 1%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Dialysis and Renal Disease Management 9
    • Renal Diseases and Glomerulopathies 7
    • Chronic Kidney Disease and Diabetes 3

Cheng Wan

33 papers receiving 1.8k citations

Hit Papers

Renal histopathological analysis of 26 postmortem findings of patients with COVID-19 in China 2020 · 1.2k citations
1.2k20202026202220244008001.2k

Peers

Cheng Wan
Comparison fields: 5 of 111
  • Nephrology 448
  • Infectious Diseases 999
  • Neurology 403
  • Obstetrics and Gynecology 127
  • Oncology 286
Replace Michael Hultström with:
Michael Hultström Sweden
Joyce Zhou United States
Alessandra Vecchié Italy
Yu Cho Woo Hong Kong
Zhonglin Chai Australia
Pier Paolo Sainaghi Italy
Matijs van Meurs Netherlands
Marta Riera Spain
Douwe J. Mulder Netherlands
Cheng Wan relative to Michael Hultström Sweden Michael Hultström's profile →
Citations per field
00.5×6.1×
Michael Hultström · 1×
Citations per year

Countries citing papers authored by Cheng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20243
4 202415
5 20240
6 20232
7 20235
8 202016
9 202086
10
Renal histopathological analysis of 26 postmortem findings of patients with COVID-19 in China
Hit paper breakdown →
20201214
11 201934
12 2019117
13 201815
14 201830
15 201819
16 201720
17 20173
18 201642
19 201113
20 201012

About Cheng Wan

Cheng Wan is a scholar working on Nephrology, Health Informatics, Complementary and Manual Therapy, Clinical Biochemistry and Biological Psychiatry, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (9 papers), Renal Diseases and Glomerulopathies (7 papers), COVID-19 Clinical Research Studies (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Advanced Glycation End Products research (3 papers), Lymphatic System and Diseases (2 papers), Ubiquitin and proteasome pathways (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Nephrology (448 citations), Infectious Diseases (999 citations), Neurology (403 citations), Obstetrics and Gynecology (127 citations) and Oncology (286 citations). Cheng Wan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chun Zhang, Hua Su, Fang Tang, Ming Yang, Fan Yi, Agnes B. Fogo, Xiu Nie, Anni Song, Wei Xiong and Yang Qiu. Their work appears in journals such as Biochemistry, BMC Medical Informatics and Decision Making, Journal of Cellular and Molecular Medicine, Renal Failure and Journal of Cellular Physiology.

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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