Can Li

3.9k citations
122 papers · 2.9k indexed · 1 hit paper · h-index 29

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 1%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes

Papers in

    • Renal Transplantation Outcomes and Treatments 12
    • Chronic Kidney Disease and Diabetes 9
    • Acute Kidney Injury Research 5

Can Li

115 papers receiving 2.9k citations

Hit Papers

Surgical Mask Partition Reduces the Risk of Noncontact Transmission in a Golden Syrian Hamster Model for Coronavirus Disease 2019 (COVID-19) 2020 · 400 citations
4002020202620222024100200300400

Peers

Can Li
Comparison fields: 5 of 130
  • Transplantation 355
  • Nephrology 515
  • Hematology 236
  • Infectious Diseases 380
  • Physiology 87
Replace Attila J. Szabó with:
Attila J. Szabó Hungary
Leszek Pączek Poland
Theodoros Eleftheriadis Greece
Byung Ha Chung South Korea
Andrew J. King United States
Alexandre Hertig France
Daniel Gotthardt Germany
Marie‐Anne Loriot France
Jinghong Zhao China
R L Simmons United States
Can Li relative to Attila J. Szabó Hungary Attila J. Szabó's profile →
Citations per field
00.5×
Attila J. Szabó · 1×
Citations per year

Countries citing papers authored by Can Li

Since Specialization
Citations

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

Fields of papers citing papers by Can Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20251
3 20252
4 20240
5 20247
6 20246
7 20244
8 20245
9 20235
10 202211
11 202227
12 20214
13 202028
14 201923
15 20191
16 201851
17 201811
18 20151
19 200930
20 2004107

About Can Li

Can Li is a scholar working on Transplantation, Nephrology, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Physiology, having authored 122 papers that have together received 2.9k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (14 papers), Renal Transplantation Outcomes and Treatments (12 papers), Pancreatic function and diabetes (11 papers), Chronic Kidney Disease and Diabetes (9 papers), Organ Transplantation Techniques and Outcomes (9 papers), Liver Disease Diagnosis and Treatment (6 papers), Acute Kidney Injury Research (5 papers) and Organ Donation and Transplantation (4 papers). The work is most often cited by research in Transplantation (355 citations), Nephrology (515 citations), Hematology (236 citations), Infectious Diseases (380 citations) and Physiology (87 citations). Can Li has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Chul Woo Yang, Sun Woo Lim, Yong‐Soo Kim, Byung Kee Bang, Jin Kim, Bo Sun, Kyung Ohk Ahn, Ju‐Young Jung, Bum Soon Choi and Kwok‐Yung Yuen. Their work appears in journals such as Transplantation, Nephron Experimental Nephrology, American Journal of Physiology-Renal Physiology, Acta Pharmacologica Sinica and International Immunopharmacology.

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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