Jaime Hughes

16.8k total citations · 1 hit paper
24 papers, 1.8k citations indexed

About

Jaime Hughes is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Infectious Diseases. According to data from OpenAlex, Jaime Hughes has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 4 papers in Infectious Diseases. Recurrent topics in Jaime Hughes's work include Genetic factors in colorectal cancer (7 papers), Microscopic Colitis (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Jaime Hughes is often cited by papers focused on Genetic factors in colorectal cancer (7 papers), Microscopic Colitis (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Jaime Hughes collaborates with scholars based in United Kingdom, United States and Canada. Jaime Hughes's co-authors include Eldon J. Gardner, Randall W. Burt, Scott R. Woodward, M. Leppert, R. White, Wade S. Samowitz, J.-M. Lalouel, P. O’Connell, Dora Stauffer and Yusuke Nakamura and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

Jaime Hughes

23 papers receiving 1.8k citations

Hit Papers

The Gene for Familial Polyposis Coli Maps to the Long Arm... 1987 2026 2000 2013 1987 100 200 300 400 500

Peers

Jaime Hughes
Comparison fields: 5 of 88
  • Pathology and Forensic Medicine 1.2k
  • Oncology 891
  • Molecular Biology 462
  • Cancer Research 362
  • Genetics 324
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Ivana M. Djuretic United States
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Maaike W.G. Looman Netherlands
Randall Armstrong United States
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Naoko Aoki Japan View profile →
Citations per field, relative to Jaime Hughes
Jaime Hughes · 1×
Citations per year, relative to Jaime Hughes
Jaime Hughes · 1×

Countries citing papers authored by Jaime Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaime Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Hughes. A scholar is included among the top collaborators of Jaime Hughes 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 Jaime Hughes. Jaime Hughes 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 0
2 2
3 11
4 10
5 8
6 1
7 7
8 18
9 28
10 54
11 125
12 6
13 15
14 124
15 58
16 456
17 194
18 7
19 18
20 2

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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