Shyama Chatterjee

820 citations
38 papers · 716 indexed · h-index 15
Topics
Malaria Research and Control (12 papers)Neuroendocrine Tumor Research Advances (7 papers)Pituitary Gland Disorders and Treatments (6 papers)
Journals
SHILAP Revista de lepidopterologíaInfection and ImmunityJournal of Ethnopharmacology
Partner nations
BelgiumIndiaFrance

In The Last Decade

Shyama Chatterjee

37 papers receiving 698 citations

Peers

Shyama Chatterjee
Comparison fields: 5 of 94
  • Molecular Biology 238
  • Public Health, Environmental and Occupational Health 153
  • Epidemiology 134
  • Developmental Neuroscience 102
  • Genetics 100
Replace Liana Verinaud with:
Liana Verinaud Brazil
Aiping Qin China
Mijeong Kim South Korea
S. S. Rabinowitz United Kingdom
Lucia Malaguarnera Italy
Kishan Kumar Nyati India
Maria Straßburger Germany
Martha-Eugenia Ruiz‐Tachiquín Mexico
Nazila Janabi France
Anuradha Tarafdar United Kingdom
Shyama Chatterjee relative to Liana Verinaud Brazil Liana Verinaud's profile →
Citations per field
00.5×3.6×
Liana Verinaud · 1×
Citations per year

Countries citing papers authored by Shyama Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Shyama Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shyama Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Shyama Chatterjee. A scholar is included among the top collaborators of Shyama Chatterjee 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 Shyama Chatterjee. Shyama Chatterjee 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 1
3 6
4 84
5 45
6
Human prion disease hypothesis does not justify the origin of bovine spongiform encephalopathy.
1
7 48
8 14
9 3
10 3
11 2
12 3
13 14
14 12
15 28
16 8
17 9
18 7
19 11
20 10

About Shyama Chatterjee

Shyama Chatterjee is a scholar working on Parasitology, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 716 indexed citations. Recurring topics across this work include Malaria Research and Control (12 papers), Neuroendocrine Tumor Research Advances (7 papers) and Pituitary Gland Disorders and Treatments (6 papers). The work is most often cited by research in Developmental Neuroscience (102 citations), Parasitology (83 citations) and Genetics (100 citations). Shyama Chatterjee has collaborated with scholars based in Belgium, India and France. Frequent co-authors include Eric Van Marck, Jasmijn Daans, Zwi Berneman, Peter Ponsaerts, M Wéry, Virander S. Chauhan, Dirk Ysebaert, Nathalie De Vocht, Irene Bergwerf and Philippe G. Jorens. Their work appears in journals such as SHILAP Revista de lepidopterología, Infection and Immunity and Journal of Ethnopharmacology.

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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