J. Hewitt

971 total citations
26 papers, 646 citations indexed

About

J. Hewitt is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, J. Hewitt has authored 26 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in J. Hewitt's work include Bacillus and Francisella bacterial research (8 papers), Yersinia bacterium, plague, ectoparasites research (5 papers) and Viral Infections and Outbreaks Research (3 papers). J. Hewitt is often cited by papers focused on Bacillus and Francisella bacterial research (8 papers), Yersinia bacterium, plague, ectoparasites research (5 papers) and Viral Infections and Outbreaks Research (3 papers). J. Hewitt collaborates with scholars based in United States and United Kingdom. J. Hewitt's co-authors include Jodi A. Flaws, Priscilla A. Furth, Janice K. Babus, Anne N. Hirshfield, Yi‐Te Hsu, Robert H. Silverman, JoAnn C. Castelli, Bret A. Hassel, Avudaiappan Maran and Jayashree M. Paranjape and has published in prestigious journals such as The Journal of Experimental Medicine, Clinical Infectious Diseases and Cell Death and Differentiation.

In The Last Decade

J. Hewitt

26 papers receiving 636 citations

Peers

J. Hewitt
Comparison fields: 5 of 107
  • Molecular Biology 344
  • Public Health, Environmental and Occupational Health 134
  • Genetics 132
  • Immunology 131
  • Oncology 83
Replace Sudhir Krishna with:
Sudhir Krishna India
Yanwu Zeng China
Hanne Offenberg Denmark
Carlos Pipaón Spain
Gregory A. Peters United States
Rakesh Chettier United States
Rolando Cuevas United States
Yumiko Tanaka Japan
Vera D. Rinaldi United States
Sudhir Krishna India View profile →
Citations per field, relative to J. Hewitt
J. Hewitt · 1×
Citations per year, relative to J. Hewitt
J. Hewitt · 1×

Countries citing papers authored by J. Hewitt

Since Specialization
Citations

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

Fields of papers citing papers by J. Hewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Hewitt

This figure shows the co-authorship network connecting the top 25 collaborators of J. Hewitt. A scholar is included among the top collaborators of J. Hewitt 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 J. Hewitt. J. Hewitt 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 3
2 28
3 4
4 13
5 12
6 30
7 32
8 10
9 11
10 2
11 26
12 148
13 15
14 148
15 5
16
Antisense transcripts and protein binding motifs within the Wilms tumour (WT1) locus.
43
17 1
18 1
19 1
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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