Shuwang Ge

5.8k citations
66 papers · 3.0k indexed · 1 hit paper · h-index 24

Impact in

  • Nephrology top 0.5%
    • 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

    • Renal Diseases and Glomerulopathies 14
    • Chronic Kidney Disease and Diabetes 11
    • Acute Kidney Injury Research 8
    • Dialysis and Renal Disease Management 6
    • IL-33, ST2, and ILC Pathways 4

Shuwang Ge

61 papers receiving 3.0k citations

Hit Papers

Kidney disease is associated with in-hospital death of patients with COVID-19 2020 · 1.8k citations
1.8k202020262022202450010001.5k

Peers

Shuwang Ge
Comparison fields: 5 of 131
  • Nephrology 721
  • Infectious Diseases 1.6k
  • Neurology 672
  • Oncology 763
  • Obstetrics and Gynecology 177
Replace Ran Luo with:
Ran Luo China
Yichun Cheng China
Meghan E. Sise United States
Jan M. Griffin United States
Amirali Masoumi United States
Adam Cuker United States
Florian Laenger Germany
Daniela Tomasoni Italy
Mahesh V. Madhavan United States
Wendy Lim Canada
Shuwang Ge relative to Ran Luo China Ran Luo's profile →
Citations per field
00.5×10×15×20.3×
Ran Luo · 1×
Citations per year

Countries citing papers authored by Shuwang Ge

Since Specialization
Citations

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

Fields of papers citing papers by Shuwang Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20240
5 20240
6 20227
7 20228
8 202217
9 202110
10 20219
11 20215
12 20218
13 202029
14 20205
15 202011
16 20205
17 201635
18 201626
19 201228
20 201120

About Shuwang Ge

Shuwang Ge is a scholar working on Nephrology, Immunology, Rheumatology, Infectious Diseases and Oncology, having authored 66 papers that have together received 3.0k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (14 papers), Chronic Kidney Disease and Diabetes (11 papers), Systemic Lupus Erythematosus Research (8 papers), Acute Kidney Injury Research (8 papers), Dialysis and Renal Disease Management (6 papers), COVID-19 Clinical Research Studies (6 papers), Nutritional Studies and Diet (5 papers) and IL-33, ST2, and ILC Pathways (4 papers). The work is most often cited by research in Nephrology (721 citations), Infectious Diseases (1.6k citations), Neurology (672 citations), Oncology (763 citations) and Obstetrics and Gynecology (177 citations). Shuwang Ge has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Gang Xu, Ran Luo, Yichun Cheng, Ying Yao, Lei Dong, Junhua Li, Zhixiang Wang, Meng Zhang, Kun Wang and Rui Zeng. Their work appears in journals such as PLoS ONE, BMC Nephrology, American Journal of Nephrology, Renal Failure and Frontiers in Medicine.

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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2026