Lee W. Riley

7.6k citations
69 papers · 5.8k indexed · 2 hit papers · h-index 31
Topics
Escherichia coli research studies (19 papers)Mycobacterium research and diagnosis (15 papers)Tuberculosis Research and Epidemiology (14 papers)
Partner nations
United StatesBrazilIndia

In The Last Decade

Lee W. Riley

69 papers receiving 5.4k citations

Hit Papers

Hemorrhagic Colitis Associated with a RareEscherichia col...19832026199720111983198350010001.5k2.0k

Peers

Lee W. Riley
Comparison fields: 5 of 155
  • Infectious Diseases 3.2k
  • Endocrinology 3.2k
  • Food Science 1.4k
  • Epidemiology 890
  • Biotechnology 847
Replace Alfredo Caprioli with:
Alfredo Caprioli Italy
Claire Jenkins United Kingdom
John D. Klena United States
David N. Taylor United States
Ann‐Mari Svennerholm Sweden
Karen L. Kotloff United States
Andrej Weintraub Sweden
Barbara E. Mahon United States
M. John Albert Bangladesh
Timothy J. Dallman United Kingdom
Lee W. Riley relative to Alfredo Caprioli Italy Alfredo Caprioli's profile →
Citations per field
00.5×2.9×
Alfredo Caprioli · 1×
Citations per year

Countries citing papers authored by Lee W. Riley

Since Specialization
Citations

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

Fields of papers citing papers by Lee W. Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee W. Riley. 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 Lee W. Riley. The network helps show where Lee W. Riley may publish in the future.

Co-authorship network of co-authors of Lee W. Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Lee W. Riley. A scholar is included among the top collaborators of Lee W. Riley 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 Lee W. Riley. Lee W. Riley 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
#WorkIndexed citations
1 13
2 45
3 7
4 9
5 8
6 20
7 3
8 33
9 8
10 23
11 6
12 69
13 38
14 15
15 143
16 106
17 39
18 22
19 119
20 140

About Lee W. Riley

Lee W. Riley is a scholar working on Endocrinology, Infectious Diseases and Molecular Medicine, having authored 69 papers that have together received 5.8k indexed citations. Recurring topics across this work include Escherichia coli research studies (19 papers), Mycobacterium research and diagnosis (15 papers) and Tuberculosis Research and Epidemiology (14 papers). The work is most often cited by research in Endocrinology (3.2k citations), Infectious Diseases (3.2k citations) and Molecular Medicine (622 citations). Lee W. Riley has collaborated with scholars based in United States, Brazil and India. Frequent co-authors include Robert S. Remis, B. R. Davis, Mitchell L. Cohen, Nancy T. Hargrett, Steven D. Helgerson, Linda Johnson, Joy G. Wells, Hannah McGee, Paul A. Blake and Nadia Tornieporth. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

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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