Feng Long

2.6k citations
60 papers · 1.9k · h-index 23

Impact in

Papers in

Feng Long

56 papers receiving 1.9k citations

Peers

Feng Long
Comparison fields: 5 of 104
  • Molecular Medicine 366
  • Infectious Diseases 596
  • Nutrition and Dietetics 269
  • Endocrinology 92
  • Animal Science and Zoology 151
Replace Jason W. Rosch with:
Jason W. Rosch United States
Yuna Sun China
Linda O. Michel United States
Peter D. Cooper Australia
Daniel Ritz Switzerland
David L. Woodward United States
Gary Sisson Canada
Guangneng Peng China
Boris Tefsen Netherlands
Chuan‐Min Zhou China
Feng Long relative to Jason W. Rosch United States Jason W. Rosch's profile →
Citations per field
00.5×4.9×
Jason W. Rosch · 1×
Citations per year

Countries citing papers authored by Feng Long

Since Specialization
Citations

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

Fields of papers citing papers by Feng Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010198
2 2011175
3 2015164
4 2015144
5 2017113
6 200993
7 201469
8 201869
9 200867
10 201261
11 201459
12 201057
13 201548
14 201943
15 201242
16 201542
17 201242
18 201138
19 201536
20 202230

About Feng Long

Feng Long is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Agronomy and Crop Science and Cardiology and Cardiovascular Medicine, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (23 papers), Viral gastroenteritis research and epidemiology (15 papers), Virus-based gene therapy research (13 papers), Animal Disease Management and Epidemiology (12 papers), Antibiotic Resistance in Bacteria (11 papers), Viral Infections and Immunology Research (11 papers), Drug Transport and Resistance Mechanisms (6 papers) and Trace Elements in Health (6 papers). The work is most often cited by research in Molecular Medicine (366 citations), Infectious Diseases (596 citations), Nutrition and Dietetics (269 citations), Endocrinology (92 citations) and Animal Science and Zoology (151 citations). Feng Long has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Edward Yu, Chih‐Chia Su, Kanagalaghatta R. Rajashankar, Michael T. Zimmermann, Robert L. Jernigan, Michael G. Rossmann, Jani Reddy Bolla, Richard Kühn, William M. Shafer and Hsiang‐Ting Lei. Their work appears in journals such as Frontiers in Veterinary Science, Animals, Pathogens, Veterinary Sciences and Frontiers in Microbiology.

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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