S.M. Nagda
Impact in
- Small Animals top 2%
- Helminth infection and control
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
- Epidemiology 16
- Trypanosoma species research and implications 16
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- Helminth infection and control 12
- Co-authors
- G.J. Rowlands (14 shared papers)G.D.M. D'Ieteren (22 shared papers)Woudyalew Mulatu (10 shared papers)John P. Gibson (7 shared papers)S.G.A. Leak (14 shared papers)Olivier Hanotte (3 shared papers)Édith Authié (4 shared papers)Abigail R Freeman (1 shared paper)
- Journals
- Preventive Veterinary Medicine (3 papers)Acta Tropica (3 papers)Animal Genetics (3 papers)Parasitology (2 papers)Mammalian Genome (2 papers)
- Partner nations
- KenyaAustraliaUnited States
In The Last Decade
S.M. Nagda
33 papers receiving 584 citations
Peers
Comparison fields: 5 of 71
- Small Animals 186
- Parasitology 146
- Ecology, Evolution, Behavior and Systematics 159
- Genetics 213
- Animal Science and Zoology 70
Countries citing papers authored by S.M. Nagda
This map shows the geographic impact of S.M. Nagda'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 S.M. Nagda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.M. Nagda more than expected).
Fields of papers citing papers by S.M. Nagda
This network shows the impact of papers produced by S.M. Nagda. 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 S.M. Nagda. The network helps show where S.M. Nagda may publish in the future.
Co-authors
The 25 scholars most cited alongside S.M. Nagda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 75 | |
| 2 | 2005 | 72 | |
| 3 | 2003 | 64 | |
| 4 | 2004 | 47 | |
| 5 | 2011 | 46 | |
| 6 | 2001 | 40 | |
| 7 | 1999 | 38 | |
| 8 | 2012 | 30 | |
| 9 | 2011 | 29 | |
| 10 | 2002 | 25 | |
| 11 | 2000 | 21 | |
| 12 | 2006 | 18 | |
| 13 | 2001 | 17 | |
| 14 | 1999 | 17 | |
| 15 | 1994 | 15 | |
| 16 | 1994 | 13 | |
| 17 | 1995 | 12 | |
| 18 | 1995 | 10 | |
| 19 | 2004 | 9 | |
| 20 | A report to FAO on ‘The design, execution and analysis of livestock breed surveys – a case study in Zimbabwe. | 2003 | 6 |
About S.M. Nagda
S.M. Nagda is a scholar working on Epidemiology, Small Animals, Genetics, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 37 papers that have together received 639 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (16 papers), Helminth infection and control (12 papers), Genetic and phenotypic traits in livestock (8 papers), Vector-Borne Animal Diseases (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Vector-borne infectious diseases (6 papers), Research on Leishmaniasis Studies (4 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Small Animals (186 citations), Parasitology (146 citations), Ecology, Evolution, Behavior and Systematics (159 citations), Genetics (213 citations) and Animal Science and Zoology (70 citations). S.M. Nagda has collaborated with scholars based in Kenya, Australia and United States. Frequent co-authors include G.J. Rowlands, G.D.M. D'Ieteren, Woudyalew Mulatu, John P. Gibson, S.G.A. Leak, Olivier Hanotte, Édith Authié, Abigail R Freeman, Daniel G. Bradley and R. L. Baker. Their work appears in journals such as Preventive Veterinary Medicine, Acta Tropica, Animal Genetics, Parasitology and Mammalian Genome.
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.