Mokrish Ajat
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Animal Behavior and Welfare Studies 4
-
- Antibiotic Resistance in Bacteria 4
- Co-authors
- Khatijah Yusoff (4 shared papers)Kok‐Song Lai (4 shared papers)Swee‐Hua Erin Lim (4 shared papers)Shun-Kai Yang (3 shared papers)Warren Thomas (2 shared papers)Aisha A. Abushelaibi (2 shared papers)J. Bernd Helms (3 shared papers)Arie B. Vaandrager (3 shared papers)
- Journals
- PLoS ONE (3 papers)Animals (2 papers)Chemistry and Physics of Lipids (2 papers)Pathogens (1 paper)Zoonoses and Public Health (1 paper)
- Partner nations
- MalaysiaNigeriaUnited Arab Emirates
In The Last Decade
Mokrish Ajat
40 papers receiving 679 citations
Peers
Comparison fields: 5 of 97
- Parasitology 68
- Molecular Medicine 51
- Applied Microbiology and Biotechnology 14
- Food Science 129
- Hepatology 43
Countries citing papers authored by Mokrish Ajat
This map shows the geographic impact of Mokrish Ajat'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 Mokrish Ajat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mokrish Ajat more than expected).
Fields of papers citing papers by Mokrish Ajat
This network shows the impact of papers produced by Mokrish Ajat. 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 Mokrish Ajat. The network helps show where Mokrish Ajat may publish in the future.
Co-authors
The 25 scholars most cited alongside Mokrish Ajat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2012 | 82 | |
| 3 | 2019 | 66 | |
| 4 | 2022 | 53 | |
| 5 | 2019 | 48 | |
| 6 | 2020 | 44 | |
| 7 | 2020 | 39 | |
| 8 | 2021 | 29 | |
| 9 | 2016 | 29 | |
| 10 | 2020 | 27 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2018 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 8 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 8 | |
| 20 | Qualitative phytochemical screening and GC-MS profiling of Azadirachta excelsa leaf extract | 2015 | 7 |
About Mokrish Ajat
Mokrish Ajat is a scholar working on Small Animals, Molecular Medicine, Animal Science and Zoology, Parasitology and Food Science, having authored 42 papers that have together received 682 indexed citations. Recurring topics across this work include Identification and Quantification in Food (4 papers), Animal Behavior and Welfare Studies (4 papers), Antibiotic Resistance in Bacteria (4 papers), Cholesterol and Lipid Metabolism (3 papers), Meat and Animal Product Quality (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Lipid metabolism and biosynthesis (3 papers) and Osteoarthritis Treatment and Mechanisms (3 papers). The work is most often cited by research in Parasitology (68 citations), Molecular Medicine (51 citations), Applied Microbiology and Biotechnology (14 citations), Food Science (129 citations) and Hepatology (43 citations). Mokrish Ajat has collaborated with scholars based in Malaysia, Nigeria and United Arab Emirates. Frequent co-authors include Khatijah Yusoff, Kok‐Song Lai, Swee‐Hua Erin Lim, Shun-Kai Yang, Warren Thomas, Aisha A. Abushelaibi, J. Bernd Helms, Arie B. Vaandrager, Martin Houweling and A.B.Z. Zuki. Their work appears in journals such as PLoS ONE, Animals, Chemistry and Physics of Lipids, Pathogens and Zoonoses and Public Health.
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.