F.A. Khan

83 papers receiving 1.2k citations

Peers

F.A. Khan
Comparison fields: 5 of 95
  • Agronomy and Crop Science 540
  • Equine 56
  • Animal Science and Zoology 258
  • Reproductive Medicine 146
  • Small Animals 105
Replace Raffaele Luigi Sciorsci with:
Raffaele Luigi Sciorsci Italy
J. R. G. Challis Canada
M. Piechotta Germany
Annalisa Rizzo Italy
D. G. Armstrong United Kingdom
Harold G. Klemcke United States
D. L. Davis United States
F. Ectors Belgium
J. Klindt United States
R. J. Fairclough Australia
F.A. Khan relative to Raffaele Luigi Sciorsci Italy Raffaele Luigi Sciorsci's profile →
Citations per field
00.5×1.5×2.1×
Raffaele Luigi Sciorsci · 1×
Citations per year

Countries citing papers authored by F.A. Khan

Since Specialization
Citations

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

Fields of papers citing papers by F.A. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014130
2 201092
3 200791
4 201349
5 201837
6 201332
7 201332
8 201330
9 201127
10 201827
11 198525
12
A comparison of morphine and nalbuphine for intraoperative and postoperative analgesia.
200324
13 201223
14 201222
15 201422
16 201121
17 201121
18 201421
19 201321
20 201320

About F.A. Khan

F.A. Khan is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Genetics, Surgery and Animal Science and Zoology, having authored 94 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (42 papers), Reproductive Biology and Fertility (18 papers), Genetic and phenotypic traits in livestock (16 papers), Effects of Environmental Stressors on Livestock (14 papers), Veterinary Equine Medical Research (10 papers), Anesthesia and Pain Management (8 papers), Reproductive System and Pregnancy (6 papers) and Sperm and Testicular Function (6 papers). The work is most often cited by research in Agronomy and Crop Science (540 citations), Equine (56 citations), Animal Science and Zoology (258 citations), Reproductive Medicine (146 citations) and Small Animals (105 citations). F.A. Khan has collaborated with scholars based in India, United States and Grenada. Frequent co-authors include Goutam Das, Xiao‐Yuan Lian, Mihir Sarkar, Janet L. Stringer, Peter J. Hansen, Serdal Dikmen, Heather J. Huson, Tad S. Sonstegard, G.E. Dahl and S.S. Dangi. Their work appears in journals such as Theriogenology, Animal Reproduction Science, Reproduction in Domestic Animals, Anaesthesia and Tropical Animal Health and Production.

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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