Sonia T. Hegde

1.2k citations
28 papers · 513 indexed · h-index 12
Topics
COVID-19 epidemiological studies (11 papers)Vibrio bacteria research studies (8 papers)Viral Infections and Vectors (6 papers)

In The Last Decade

Sonia T. Hegde

25 papers receiving 498 citations

Peers

Sonia T. Hegde
Comparison fields: 5 of 80
  • Infectious Diseases 209
  • Epidemiology 200
  • Public Health, Environmental and Occupational Health 126
  • Immunology 82
  • Endocrinology 76
Replace Miguel G. Madariaga with:
Miguel G. Madariaga United States
Irma López‐Martínez Mexico
Babasaheb V. Tandale India
Benjamin A. Satterfield United States
Anna M. Y. Yamamura Brazil
Alessio Bortolami Italy
Biswajyoti Borkakoty India
Placide Mbala‐Kingebeni Democratic Republic of the Congo
Akhilesh Chandra Mishra India
Antonella Pinto Italy
Sonia T. Hegde relative to Miguel G. Madariaga United States Miguel G. Madariaga's profile →
Citations per field
00.5×5.5×
Miguel G. Madariaga · 1×
Citations per year

Countries citing papers authored by Sonia T. Hegde

Since Specialization
Citations

This map shows the geographic impact of Sonia T. Hegde'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 Sonia T. Hegde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia T. Hegde more than expected).

Fields of papers citing papers by Sonia T. Hegde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonia T. Hegde. 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 Sonia T. Hegde. The network helps show where Sonia T. Hegde may publish in the future.

Co-authorship network of co-authors of Sonia T. Hegde

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia T. Hegde. A scholar is included among the top collaborators of Sonia T. Hegde 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 Sonia T. Hegde. Sonia T. Hegde 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 7
4 1
5 4
6 1
7 10
8 9
9 0
10 4
11 1
12 28
13 9
14 14
15 78
16 32
17 52
18 11
19 18
20 63

About Sonia T. Hegde

Sonia T. Hegde is a scholar working on Modeling and Simulation, Endocrinology and Infectious Diseases, having authored 28 papers that have together received 513 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Vibrio bacteria research studies (8 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Endocrinology (76 citations), Virology (65 citations) and Modeling and Simulation (56 citations). Sonia T. Hegde has collaborated with scholars based in United States, Bangladesh and Switzerland. Frequent co-authors include Emily S. Gurley, Stephen P. Luby, Hossain M. S. Sazzad, Peter Daszak, Mahmudur Rahman, Robert A. Seder, Ross Lindsay, Patricia A. Darrah, Mario Roederer and Jonathan H. Epstein. Their work appears in journals such as Nature Medicine, The Journal of Experimental Medicine and Environmental Science & Technology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026