Jingli Chen

2.3k citations
54 papers · 1.5k indexed · 1 hit paper · h-index 14

Impact in

Papers in

Jingli Chen

49 papers receiving 1.5k citations

Hit Papers

Clinical characteristics and outcomes of patients undergoing surgeries during the incubation period of COVID-19 infection 2020 · 927 citations
9272020202620222024250500750

Peers

Jingli Chen
Comparison fields: 5 of 122
  • Oncology 762
  • Infectious Diseases 343
  • Emergency Medicine 166
  • Critical Care and Intensive Care Medicine 72
  • Pulmonary and Respiratory Medicine 260
Replace Fabio Perrotta with:
Fabio Perrotta Italy
James W. Antoon United States
Jiayuan Wu China
Gerhard Schillinger Germany
Brandon M. Meyers Canada
Bhaskar Thakur India
Joo‐Hee Kim South Korea
Roberto Parrella Italy
Huiling Liang China
Jingli Chen relative to Fabio Perrotta Italy Fabio Perrotta's profile →
Citations per field
00.5×12×
Fabio Perrotta · 1×
Citations per year

Countries citing papers authored by Jingli Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jingli Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20245
5 20247
6 20232
7 202316
8 20226
9 202113
10 20215
11 202128
12 202013
13 20208
14
Clinical characteristics and outcomes of patients undergoing surgeries during the incubation period of COVID-19 infection
Hit paper breakdown →
2020927
15 201817
16 201739
17 201631
18 201612
19 20140
20 2014108

About Jingli Chen

Jingli Chen is a scholar working on Neurology, Developmental Neuroscience, Aging, Applied Microbiology and Biotechnology and Cancer Research, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), RNA modifications and cancer (4 papers), COVID-19 Clinical Research Studies (4 papers), Plant Molecular Biology Research (4 papers), Hydrogen's biological and therapeutic effects (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Immune cells in cancer (3 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Oncology (762 citations), Infectious Diseases (343 citations), Emergency Medicine (166 citations), Critical Care and Intensive Care Medicine (72 citations) and Pulmonary and Respiratory Medicine (260 citations). Jingli Chen has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Yifan Jia, Danyong Liu, Shaoqing Lei, Chang Chen, Zhengyuan Xia, Fang Jiang, Wei Mei, Wating Su, Liangqing Zhang and Gang Lu. Their work appears in journals such as Anti-Cancer Drugs, BMC Anesthesiology, Journal of Ethnopharmacology, Neuropharmacology and BMC Plant Biology.

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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