Salah Uddin Khan

3.4k citations
61 papers · 2.2k indexed · h-index 27

Salah Uddin Khan

59 papers receiving 2.2k citations

Peers

Salah Uddin Khan
Comparison fields: 5 of 103
  • Infectious Diseases 1.4k
  • Agronomy and Crop Science 633
  • Virology 236
  • Epidemiology 1.3k
  • Modeling and Simulation 157
Replace Gianguglielmo Zehender with:
Gianguglielmo Zehender Italy
M. Jahangir Hossain Bangladesh
Thomas J. DeLiberto United States
Jennifer Barr Australia
Luiz Max Carvalho Brazil
Sarah N. Bevins United States
Aaron S. Mweene Zambia
Stefano Marangon Italy
Pierre Rouquet Gabon
Aziz Jamaluddin Malaysia
Salah Uddin Khan relative to Gianguglielmo Zehender Italy Gianguglielmo Zehender's profile →
Citations per field
00.5×1.5×2.3×
Gianguglielmo Zehender · 1×
Citations per year

Countries citing papers authored by Salah Uddin Khan

Since Specialization
Citations

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

Fields of papers citing papers by Salah Uddin Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salah Uddin Khan. 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 Salah Uddin Khan. The network helps show where Salah Uddin Khan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Salah Uddin Khan, 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 Salah Uddin Khan Line = papers co-authored together Salah Uddin Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20233
4 20217
5 201859
6 201644
7 201511
8
Blood parasites infections in domiciled dogs in an animal health service in Rio de Janeiro, Brazil.
20151
9 20149
10 201451
11 201463
12 201440
13 201394
14 201325
15 20121
16 2011159
17 2010129
18 2009303
19 200992
20 19793

About Salah Uddin Khan

Salah Uddin Khan is a scholar working on Virology, Infectious Diseases and Agronomy and Crop Science, having authored 61 papers that have together received 2.2k indexed citations. Recurring topics across this work include Viral Infections and Vectors (29 papers), Animal Disease Management and Epidemiology (19 papers), Influenza Virus Research Studies (15 papers), Virology and Viral Diseases (14 papers), Rabies epidemiology and control (9 papers), Zoonotic diseases and public health (9 papers), Viral gastroenteritis research and epidemiology (5 papers) and Vector-Borne Animal Diseases (5 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Agronomy and Crop Science (633 citations) and Virology (236 citations). Salah Uddin Khan has collaborated with scholars based in United States, Bangladesh and Canada. Frequent co-authors include Stephen P. Luby, Emily S. Gurley, Jahangir Hossain, Mahmudur Rahman, Nazmun Nahar, Nusrat Homaira, James A. Comer, Pierre E. Rollin, Jonathan H. Epstein and Peter Daszak. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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