Jing Li

195 papers receiving 5.5k citations

Jing Li's Hit Papers

Growing Y-junction carbon nanotubes 1999 · 673 citations
6730+9+18Years since publication200400600

Peers

Jing Li
Comparison fields: 5 of 158
  • Developmental Neuroscience 666
  • Pathology and Forensic Medicine 1.3k
  • Emergency Medicine 671
  • Cancer Research 606
  • Complementary and alternative medicine 286
Replace Tobias Eckle with:
Tobias Eckle United States
Pasquale Pagliaro Italy
Thomas Krieg United Kingdom
Buddhadeb Dawn United States
Michael Marber United Kingdom
Vincent Richard France
Fumito Ichinose United States
David J. Pinsky United States
Bernhard F. Becker Germany
Christopher G. Kevil United States
Jing Li relative to Tobias Eckle United States Tobias Eckle's profile →
Citations per field
00.5×1.6×
Tobias Eckle · 1×
Citations per year

Countries citing papers authored by Jing Li

Since Specialization
Citations

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

Fields of papers citing papers by Jing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 211 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Growing Y-junction carbon nanotubes
Hit paper breakdown →
1999673
2 2009230
3 2014192
4 2020170
5 2010164
6 1998135
7 2011133
8 2011132
9 1999118
10 2009106
11 201292
12 201891
13 200189
14 201088
15 201384
16 200577
17 201076
18 201675
19 202172
20 201671

About Jing Li

Jing Li is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 211 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (30 papers), Cardiac Arrest and Resuscitation (21 papers), Anesthesia and Neurotoxicity Research (20 papers), MicroRNA in disease regulation (16 papers), Acupuncture Treatment Research Studies (15 papers), Cardiac Fibrosis and Remodeling (13 papers), Cardiovascular Function and Risk Factors (11 papers) and Pulmonary Hypertension Research and Treatments (9 papers). The work is most often cited by research in Developmental Neuroscience (666 citations), Pathology and Forensic Medicine (1.3k citations), Emergency Medicine (671 citations), Cancer Research (606 citations) and Complementary and alternative medicine (286 citations). Jing Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jimmy Xu, Chris Papadopoulos, Andrew N. Redington, Michael B. Tropak, Reinhart A.F. Reithmeier, Cedric Manlhiot, T. L. Haslett, Martin Moskovits, Can Wei and Rajesh Kharbanda. Their work appears in journals such as Basic Research in Cardiology, American Journal of Physiology-Heart and Circulatory Physiology, PLoS ONE, Scientific Reports and Clinical Science.

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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