Jun Li

16.9k citations
465 papers · 10.7k · 2 hit papers · h-index 50

Impact in

Papers in

Jun Li

429 papers receiving 10.5k citations

Jun Li's Hit Papers

Prognostic Nomogram for Intrahepatic Cholangiocarcinoma After Partial Hepatectomy 2013 · 839 citations
8390+7+15Years since publication250500750

Peers

Jun Li
Comparison fields: 5 of 167
  • Hepatology 1.8k
  • Transplantation 336
  • Parasitology 749
  • Pathology and Forensic Medicine 1.8k
  • Surgery 4.0k
Replace Daniel Candinas with:
Daniel Candinas Switzerland
Gwendalyn J. Randolph United States
Enrico Maggi Italy
Gerd R Burmester Germany
Mohamed R. Daha Netherlands
Yong-Jun Liu United States
Andrea Tannapfel Germany
Atul K. Bhan United States
Francesco Annunziato Italy
Paola Romagnani Italy
Jun Li relative to Daniel Candinas Switzerland Daniel Candinas's profile →
Citations per field
00.5×4.2×
Daniel Candinas · 1×
Citations per year

Countries citing papers authored by Jun Li

Since Specialization
Citations

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

Fields of papers citing papers by Jun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 465 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prognostic Nomogram for Intrahepatic Cholangiocarcinoma After Partial Hepatectomy
Hit paper breakdown →
2013839
2
Echinococcosis
Hit paper breakdown →
2003707
3 2009417
4 2003334
5 2004232
6 2017198
7 2012186
8 2010173
9 2014141
10 2017139
11 2002138
12 2014133
13 2010125
14 2019121
15 2013113
16 2010113
17 2013109
18 2013107
19 2014100
20 201196

About Jun Li

Jun Li is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Hepatology, having authored 465 papers that have together received 10.7k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (51 papers), Organ Transplantation Techniques and Outcomes (46 papers), Renal Transplantation Outcomes and Treatments (43 papers), Pancreatic and Hepatic Oncology Research (41 papers), Hepatocellular Carcinoma Treatment and Prognosis (40 papers), Gallbladder and Bile Duct Disorders (38 papers), Liver Disease and Transplantation (21 papers) and Hepatitis B Virus Studies (20 papers). The work is most often cited by research in Hepatology (1.8k citations), Transplantation (336 citations), Parasitology (749 citations), Pathology and Forensic Medicine (1.8k citations) and Surgery (4.0k citations). Jun Li has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Donald P. McManus, Wenbao Zhang, Paul B. Bartley, Feng Shen, Yong Xia, Zhenlin Yan, Kui Wang, Mengchao Wu, Xuying Wan and Dong Wu. Their work appears in journals such as Journal of Gastrointestinal Surgery, HPB, International Journal of Surgery, Oncotarget and 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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