M. Khalid

76 papers receiving 1.7k citations

Peers

M. Khalid
Comparison fields: 5 of 88
  • Agronomy and Crop Science 1.1k
  • Reproductive Medicine 514
  • Equine 83
  • Small Animals 193
  • Public Health, Environmental and Occupational Health 745
Replace K. Okuda with:
K. Okuda Japan
H. R. Sawyer United States
N. Kawate Japan
D. D. Lunstra United States
Jerry J. Reeves United States
M. Courot France
Kunitada SATO Japan
T. M. Nett United States
W. B. Currie United States
Isabelle Donnay Belgium
M. Khalid relative to K. Okuda Japan K. Okuda's profile →
Citations per field
00.5×1.5×2.3×
K. Okuda · 1×
Citations per year

Countries citing papers authored by M. Khalid

Since Specialization
Citations

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

Fields of papers citing papers by M. Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006289
2 2005134
3 200768
4 200563
5 200654
6 200753
7 200645
8 200344
9 201344
10 200943
11 200641
12 201139
13 200939
14 200038
15 200638
16 200736
17 200036
18 201030
19 201130
20 201029

About M. Khalid

M. Khalid is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Reproductive Medicine, Genetics and Small Animals, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (57 papers), Reproductive Biology and Fertility (28 papers), Sperm and Testicular Function (12 papers), Genetic and phenotypic traits in livestock (11 papers), Veterinary Medicine and Surgery (9 papers), Veterinary Equine Medical Research (9 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). The work is most often cited by research in Agronomy and Crop Science (1.1k citations), Reproductive Medicine (514 citations), Equine (83 citations), Small Animals (193 citations) and Public Health, Environmental and Occupational Health (745 citations). M. Khalid has collaborated with scholars based in United Kingdom, Thailand and Pakistan. Frequent co-authors include R. J. Scaramuzzi, W. Haresign, N.R. Kendall, Bruce Campbell, Suppawiwat Ponglowhapan, M.N. Somchit, David B. Church, Minerva Muñoz-Gutiérrez, J. A. Downing and Michael McGowan. Their work appears in journals such as Theriogenology, Animal Reproduction Science, Animal Science, Reproduction in Domestic Animals and Reproduction.

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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