Muhammad Anzar

2.1k citations
62 papers · 1.7k · h-index 22

Impact in

Papers in

Muhammad Anzar

61 papers receiving 1.6k citations

Peers

Muhammad Anzar
Comparison fields: 5 of 72
  • Reproductive Medicine 1.2k
  • Agronomy and Crop Science 148
  • Public Health, Environmental and Occupational Health 321
  • Physiology 36
  • Genetics 159
Replace C.O. Hidalgo with:
C.O. Hidalgo Spain
Mayra Elena Ortiz D’Ávila Assumpção Brazil
Jordi Miró Spain
J.K. Graham United States
María Jesús Sánchez‐Calabuig Spain
Teresa Mogas Spain
Z. Smorąg Poland
J.H.G. den Daas Netherlands
Ramakrishnan Vishwanath New Zealand
Mercedes Alvarez Spain
Muhammad Anzar relative to C.O. Hidalgo Spain C.O. Hidalgo's profile →
Citations per field
00.5×2×3.1×
C.O. Hidalgo · 1×
Citations per year

Countries citing papers authored by Muhammad Anzar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Anzar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002288
2 2009117
3 2001112
4 2010111
5 200373
6 200071
7 200666
8 200565
9 201560
10 200755
11 201146
12 200939
13 200838
14
FACTORS AFFECTING THE EFFICIENCY OF ARTIFICIAL INSEMINATION IN CATTLE AND BUFFALO IN PUNJAB, PAKISTAN
200333
15 201732
16 201031
17 201930
18 199528
19 199125
20 201225

About Muhammad Anzar

Muhammad Anzar is a scholar working on Reproductive Medicine, Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Genetics and Biomaterials, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sperm and Testicular Function (38 papers), Reproductive Biology and Fertility (18 papers), Reproductive Physiology in Livestock (12 papers), Mycotoxins in Agriculture and Food (2 papers), Lipid Membrane Structure and Behavior (1 paper), Hypothalamic control of reproductive hormones (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Reproductive Medicine (1.2k citations), Agronomy and Crop Science (148 citations), Public Health, Environmental and Occupational Health (321 citations), Physiology (36 citations) and Genetics (159 citations). Muhammad Anzar has collaborated with scholars based in Canada, Pakistan and United States. Frequent co-authors include M.M. Buhr, Tom Kroetsch, Nasim Ahmad, Karl Peter Pauls, Edmund F. Graham, Jaswant K. Singh, Ali Honaramooz, Muhammad Shahab, Jacob C. Thundathil and Patrick Blondin. Their work appears in journals such as Theriogenology, Reproduction Fertility and Development, Animal Reproduction Science, PLoS ONE and Biology of 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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