M. M. Pathan

648 citations
40 papers · 408 · 1 hit paper · h-index 8

Impact in

Papers in

M. M. Pathan

35 papers receiving 384 citations

M. M. Pathan's Hit Papers

Agricultural plant diseases identification: From traditional approach to deep learning 2023 · 141 citations
1410+1+2Years since publication4080120

Peers

M. M. Pathan
Comparison fields: 5 of 98
  • Animal Science and Zoology 105
  • Agronomy and Crop Science 84
  • Small Animals 32
  • Analytical Chemistry 30
  • Plant Science 82
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Citations per year

Countries citing papers authored by M. M. Pathan

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Pathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Agricultural plant diseases identification: From traditional approach to deep learning
Hit paper breakdown →
2023141
2 201789
3 201242
4 202238
5 20189
6 20248
7
Heat Shock Proteins and their clinical Implications
20107
8 20117
9
COMPARATIVE STUDIES ON HAEMATO-BIOCHEMICAL PROFILE OF CYCLIC AND NON-CYCLIC HOLSTEIN-FRIESIAN CROSS-BRED COWS
20116
10 20256
11
ANTIOXIDANT STATUS IN PERIPARTURIENT MEHSANA BUFFALOES
20105
12 20245
13
Bovine colostrum and neonate immunity - a review.
20115
14 20244
15 20214
16
HEPATOPROTECTIVE ACTIVITY OF MAYTENUS EMARGINATA AGAINST PARACETAMOL INDUCED LIVER INJURY IN MALE WISTAR RATS
20143
17 20183
18
Biochemical profile of uncastrated male kutchi camel during the breeding season.
20092
19 20252
20 20192

About M. M. Pathan

M. M. Pathan is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Genetics, Artificial Intelligence and Plant Science, having authored 40 papers that have together received 408 indexed citations. Recurring topics across this work include Effects of Environmental Stressors on Livestock (11 papers), Reproductive Physiology in Livestock (10 papers), Genetic and phenotypic traits in livestock (7 papers), Livestock Management and Performance Improvement (5 papers), Smart Agriculture and AI (3 papers), Cinema and Media Studies (2 papers), Pregnancy and preeclampsia studies (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Animal Science and Zoology (105 citations), Agronomy and Crop Science (84 citations), Small Animals (32 citations), Analytical Chemistry (30 citations) and Plant Science (82 citations). M. M. Pathan has collaborated with scholars based in India, Saudi Arabia and Hungary. Frequent co-authors include Ramgopal Kashyap, Jameer Kotwal, Y. G. Patel, Yogesh Kumar, Jana Shafi, Muhammad Fazal Ijaz, Raghvendra Kumar, Harsimran Kaur, Joydip Mukherjee and Shiv Prasad. Their work appears in journals such as Smart Cities, International Journal of Pharmacy and Pharmaceutical Sciences, Data in Brief, IEEE Access and Journal of Animal Physiology and Animal Nutrition.

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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