Devan Jaganath

3.5k citations
56 papers · 1.6k indexed · h-index 18
Topics
Tuberculosis Research and Epidemiology (27 papers)Diagnosis and treatment of tuberculosis (11 papers)Mycobacterium research and diagnosis (8 papers)
Journals
NatureSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
Partner nations
United StatesUgandaPeru

In The Last Decade

Devan Jaganath

50 papers receiving 1.5k citations

Peers

Devan Jaganath
Comparison fields: 5 of 137
  • Infectious Diseases 602
  • Epidemiology 402
  • General Health Professions 302
  • Cognitive Neuroscience 291
  • Cellular and Molecular Neuroscience 179
Replace Dhaval Patel with:
Dhaval Patel United States
David S. Timberlake United States
Catalina Lopez‐Quintero United States
Andrew J. Levine United States
Georgios Papazisis Greece
Hanna Bergman United Kingdom
Lísia von Diemen Brazil
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Devan Jaganath relative to Dhaval Patel United States Dhaval Patel's profile →
Citations per field
00.5×5.4×
Dhaval Patel · 1×
Citations per year

Countries citing papers authored by Devan Jaganath

Since Specialization
Citations

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

Fields of papers citing papers by Devan Jaganath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devan Jaganath

This figure shows the co-authorship network connecting the top 25 collaborators of Devan Jaganath. A scholar is included among the top collaborators of Devan Jaganath 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 Devan Jaganath. Devan Jaganath 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 0
2 0
3 1
4 1
5 38
6 17
7 31
8 3
9 10
10 11
11 20
12 13
13 14
14 31
15 19
16 14
17 8
18 53
19 73
20 333

About Devan Jaganath

Devan Jaganath is a scholar working on Infectious Diseases, Speech and Hearing and Health, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (27 papers), Diagnosis and treatment of tuberculosis (11 papers) and Mycobacterium research and diagnosis (8 papers). The work is most often cited by research in Infectious Diseases (602 citations), Endocrine and Autonomic Systems (114 citations) and Cognitive Neuroscience (291 citations). Devan Jaganath has collaborated with scholars based in United States, Uganda and Peru. Frequent co-authors include Sean D. Young, Ezekiel Mupere, Ted Abel, Christopher G. Vecsey, Mathieu E. Wimmer, Sung‐Jae Lee, Greg Szekeres, Thomas J. Coates, William G. Cumberland and Adam C. Cohen. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

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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