Renyong Lin

2.0k citations
87 papers · 965 · h-index 18

Impact in

Papers in

Renyong Lin

79 papers receiving 951 citations

Peers

Renyong Lin
Comparison fields: 5 of 108
  • Parasitology 400
  • Pathology and Forensic Medicine 536
  • Surgery 394
  • Infectious Diseases 136
  • Cancer Research 89
Replace Tuerganaili Aji with:
Tuerganaili Aji China
Bernd Gollackner United States
Li‐Fang Chou Taiwan
Lisa K. Blum United States
Marco A. Fernández Spain
Thomas M. Burke United States
Yuchang Li China
Diana Noronha Nunes Brazil
Deepti Joshi India
Renyong Lin relative to Tuerganaili Aji China Tuerganaili Aji's profile →
Citations per field
00.5×3.9×
Tuerganaili Aji · 1×
Citations per year

Countries citing papers authored by Renyong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Renyong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200686
2 201972
3 201251
4 201051
5 201949
6 201747
7 201541
8 201439
9 201636
10 201232
11 201830
12 201125
13 201925
14 201920
15 201119
16 200918
17 201017
18 201517
19 202216
20 202415

About Renyong Lin

Renyong Lin is a scholar working on Pathology and Forensic Medicine, Surgery, Parasitology, Infectious Diseases and Molecular Biology, having authored 87 papers that have together received 965 indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (43 papers), Congenital Anomalies and Fetal Surgery (26 papers), Parasitic Infections and Diagnostics (25 papers), Amoebic Infections and Treatments (12 papers), Cavitation Phenomena in Pumps (5 papers), Parasite Biology and Host Interactions (4 papers), Parasites and Host Interactions (4 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). The work is most often cited by research in Parasitology (400 citations), Pathology and Forensic Medicine (536 citations), Surgery (394 citations), Infectious Diseases (136 citations) and Cancer Research (89 citations). Renyong Lin has collaborated with scholars based in China, France and Switzerland. Frequent co-authors include Hao Wen, Dominique A. Vuitton, Junhua Wang, Guodong Lü, Chuanshan Zhang, Liang Li, Xiaojuan Bi, Tuerhongjiang Tuxun, Cheng Sun and Yingmei Shao. Their work appears in journals such as PLoS ONE, Scientific Reports, Photodiagnosis and Photodynamic Therapy, PLoS neglected tropical diseases and Ocean Engineering.

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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