D. Majumdar

1.3k citations
9 papers · 1.0k indexed · 1 hit paper · h-index 9
Topics
Toxoplasma gondii Research Studies (8 papers)Parasitic Infections and Diagnostics (6 papers)Herpesvirus Infections and Treatments (5 papers)

In The Last Decade

D. Majumdar

9 papers receiving 1000 citations

Hit Papers

Geographical patterns of Toxoplasma gondii genetic divers...20132026201720212013100200300

Peers

D. Majumdar
Comparison fields: 5 of 49
  • Parasitology 953
  • Epidemiology 666
  • Virology 271
  • Public Health, Environmental and Occupational Health 80
  • Molecular Biology 61
Replace Hilda Fátima de Jesus Pena with:
Hilda Fátima de Jesus Pena Brazil
Anderson Barbosa de Moura Brazil
Eung-goo Lee Japan
Sadao NOGAMI Japan
D. Bacigalupe Argentina
Laís Pardini Argentina
Shiv K. Verma United States
Juliana Martins Aguiar Brazil
R. H. WILLIAMS United Kingdom
Petras Prakas Lithuania
D. Majumdar relative to Hilda Fátima de Jesus Pena Brazil Hilda Fátima de Jesus Pena's profile →
Citations per field
00.5×10×15×20.3×
Hilda Fátima de Jesus Pena · 1×
Citations per year

Countries citing papers authored by D. Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by D. Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Majumdar

This figure shows the co-authorship network connecting the top 25 collaborators of D. Majumdar. A scholar is included among the top collaborators of D. Majumdar 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 D. Majumdar. D. Majumdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Geographical patterns of Toxoplasma gondii genetic diversity revealed by multilocus PCR-RFLP genotypingbreakdown →
331
2 275
3 34
4 35
5 40
6 47
7 55
8 161
9 40

About D. Majumdar

D. Majumdar is a scholar working on Parasitology, Virology and Epidemiology, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (8 papers), Parasitic Infections and Diagnostics (6 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Parasitology (953 citations), Virology (271 citations) and Epidemiology (666 citations). D. Majumdar has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Chunlei Su, J. P. Dubey, Xing‐Quan Zhu, Solange María Gennari, E. Keats Shwab, Hilda Fátima Jesus Pena, N. Sundar, O. C. H. Kwok, Gopal V. Velmurugan and Daniel Ajzenberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal for Parasitology and Veterinary Parasitology.

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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