Peter Feng

4.5k total citations
79 papers, 3.3k citations indexed

About

Peter Feng is a scholar working on Endocrinology, Infectious Diseases and Food Science. According to data from OpenAlex, Peter Feng has authored 79 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Endocrinology, 40 papers in Infectious Diseases and 30 papers in Food Science. Recurrent topics in Peter Feng's work include Escherichia coli research studies (56 papers), Viral gastroenteritis research and epidemiology (38 papers) and Salmonella and Campylobacter epidemiology (19 papers). Peter Feng is often cited by papers focused on Escherichia coli research studies (56 papers), Viral gastroenteritis research and epidemiology (38 papers) and Salmonella and Campylobacter epidemiology (19 papers). Peter Feng collaborates with scholars based in United States, Germany and France. Peter Feng's co-authors include Bala Swaminathan, Steven R. Monday, Thomas A. Cebula, W L Payne, Paul A. Hartman, Keith A. Lampel, Thomas S. Whittam, Helge Karch, Walter E. Hill and S P Keasler and has published in prestigious journals such as The Journal of Immunology, Analytical Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Peter Feng

78 papers receiving 3.2k citations

Peers

Peter Feng
Comparison fields: 5 of 112
  • Endocrinology 2.1k
  • Infectious Diseases 1.4k
  • Food Science 1.3k
  • Biotechnology 701
  • Molecular Biology 592
Replace Craig T. Parker with:
Craig T. Parker United States
Pina M. Fratamico United States
Terrance M. Arthur United States
Jacek Osek Poland
Catherine M. Logue United States
Francisco Diez‐Gonzalez United States
H. Chart United Kingdom
Robert K. Shaw United Kingdom
Thomas Alter Germany
Steven L. Foley United States
Craig T. Parker United States View profile →
Citations per field, relative to Peter Feng
Peter Feng · 1×
Citations per year, relative to Peter Feng
Peter Feng · 1×

Countries citing papers authored by Peter Feng

Since Specialization
Citations

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

Fields of papers citing papers by Peter Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Feng. A scholar is included among the top collaborators of Peter Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Feng. Peter Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 16
3 42
4 66
5 11
6 11
7
Primer aislamiento de Escherichia coli no O157 productor de toxina Shiga en carnes bovina y porcina en Venezuela
1
8
Population genetics of bacteria : a tribute to Thomas S. Whittam
15
9 21
10 21
11 65
12
Identifying new PCR targets for pathogenic bacteria using top-down LC/MS protein discovery.
9
13 4
14 72
15 119
16 211
17 49
18 45
19 56
20 37

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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