G. Das

1.0k citations
91 papers · 809 · h-index 17

Impact in

Papers in

    • Helminth infection and control 22
    • Parasitic Infections and Diagnostics 11
    • Vector-borne infectious diseases 6

G. Das

81 papers receiving 745 citations

Peers

G. Das
Comparison fields: 5 of 92
  • Parasitology 148
  • Reproductive Medicine 174
  • Small Animals 129
  • Agronomy and Crop Science 121
  • Molecular Medicine 53
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Marko Samardžija Croatia
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David B. Galloway United Kingdom
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Bart Mateusen Belgium
G.M. Fasenko Canada
Raqueli Teresinha França Brazil
Terry L. Blanchard United States
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Citations per field
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Pınar Alkım Ulutaş · 1×
Citations per year

Countries citing papers authored by G. Das

Since Specialization
Citations

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

Fields of papers citing papers by G. Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Das Line = papers co-authored together G. Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200173
2 201665
3 199655
4 201853
5 201235
6 201431
7 201031
8 201627
9 199026
10 201421
11 200120
12 201719
13 201418
14 200018
15 200818
16 200517
17
Comparative randomised controlled clinical trial of a herbal eye drop with artificial tear and placebo in computer vision syndrome.
200317
18 200516
19 201415
20 201014

About G. Das

G. Das is a scholar working on Small Animals, Parasitology, Agronomy and Crop Science, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 91 papers that have together received 809 indexed citations. Recurring topics across this work include Helminth infection and control (22 papers), Sperm and Testicular Function (13 papers), Livestock Management and Performance Improvement (12 papers), Parasitic Infections and Diagnostics (11 papers), Reproductive Physiology in Livestock (10 papers), Reproductive Biology and Fertility (8 papers), Vector-Borne Animal Diseases (7 papers) and Vector-borne infectious diseases (6 papers). The work is most often cited by research in Parasitology (148 citations), Reproductive Medicine (174 citations), Small Animals (129 citations), Agronomy and Crop Science (121 citations) and Molecular Medicine (53 citations). G. Das has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Nihar Ranjan Biswas, J.K. Prasad, Vandana Tripathi, S. K. Ghosh, Sarita Beri, S. Ghosh, Nitin Kumar, Suresh K. Gupta, A. K. Dixit and Srikant Ghosh. Their work appears in journals such as Tropical Animal Health and Production, Theriogenology, Parasitology Research, Journal of Helminthology and Molecular and Biochemical 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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