Mohammad Arif

435 citations
33 papers · 291 · h-index 10

Impact in

Papers in

Mohammad Arif

28 papers receiving 280 citations

Peers

Mohammad Arif
Comparison fields: 5 of 73
  • Biotechnology 53
  • Animal Science and Zoology 44
  • Food Science 76
  • Microbiology 19
  • Endocrinology 11
Replace Rakesh Varghese with:
Rakesh Varghese Saudi Arabia
S.A. Kim South Korea
Zorica Tomičić Serbia
Tanushree B. Gupta New Zealand
Ana Jiménez-Belenguer Spain
Angela Michela Immacolata Montone Italy
Wanhe Luo China
Isabela Schneid Kröning Brazil
Madhusudana Rao Badireddy India
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Citations per field
00.5×1.5×2.5×
Rakesh Varghese · 1×
Citations per year

Countries citing papers authored by Mohammad Arif

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Arif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202341
2 201233
3 202130
4 201528
5 201521
6 202119
7 202018
8 202217
9 201516
10 20159
11 20207
12 20227
13 20217
14 20135
15 20185
16 20214
17 19984
18 20243
19 20233
20 20183

About Mohammad Arif

Mohammad Arif is a scholar working on Food Science, Molecular Biology, Infectious Diseases, Animal Science and Zoology and Endocrinology, having authored 33 papers that have together received 291 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Probiotics and Fermented Foods (4 papers), Vibrio bacteria research studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Nutrition and Physiology (3 papers), Cancer-related molecular mechanisms research (3 papers), Polysaccharides and Plant Cell Walls (2 papers) and Food Safety and Hygiene (2 papers). The work is most often cited by research in Biotechnology (53 citations), Animal Science and Zoology (44 citations), Food Science (76 citations), Microbiology (19 citations) and Endocrinology (11 citations). Mohammad Arif has collaborated with scholars based in Bangladesh, Japan and India. Frequent co-authors include S. M. Lutful Kabir, Veena Pande, Sk Shaheenur Islam, Laurent Dufossé, K. H. M. Nazmul Hussain Nazir, Shikha Sharma, Ritu Gupta, Sonu Chand Thakur, G. Ramya and Mahbubul Pratik Siddique. Their work appears in journals such as Energy Sources Part A Recovery Utilization and Environmental Effects, Animals, BioMed Research International, Research in Veterinary Science and Pathogens.

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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