Kit‐Kay Mak
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Computational Drug Discovery Methods
Papers in
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- Genomics, phytochemicals, and oxidative stress 6
- Phytochemical compounds biological activities 3
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- Synthesis and biological activity 5
- Co-authors
- Mallikarjuna Rao Pichika (37 shared papers)Madhu Katyayani Balijepalli (11 shared papers)Hira Choudhury (3 shared papers)Umer Daood (13 shared papers)Shiming Zhang (8 shared papers)Prashant Kesharwani (1 shared paper)Zahid Hussain (1 shared paper)Manisha Pandey (1 shared paper)
- Journals
- Molecules (5 papers)Scientific Reports (2 papers)Drug Discovery Today (2 papers)Antioxidants (2 papers)Macromolecular Bioscience (2 papers)
- Partner nations
- MalaysiaIndiaUnited Kingdom
In The Last Decade
Kit‐Kay Mak
41 papers receiving 1.3k citations
Kit‐Kay Mak's Hit Papers
Peers
Comparison fields: 5 of 156
- Health Informatics 90
- Computational Theory and Mathematics 305
- Pharmacology 92
- Biomaterials 137
- Periodontics 34
Countries citing papers authored by Kit‐Kay Mak
This map shows the geographic impact of Kit‐Kay Mak'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 Kit‐Kay Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kit‐Kay Mak more than expected).
Fields of papers citing papers by Kit‐Kay Mak
This network shows the impact of papers produced by Kit‐Kay Mak. 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 Kit‐Kay Mak. The network helps show where Kit‐Kay Mak may publish in the future.
Co-authors
The 25 scholars most cited alongside Kit‐Kay Mak, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence in drug development: present status and future prospects Hit paper breakdown → | 2018 | 557 |
| 2 | 2018 | 157 | |
| 3 | 2022 | 59 | |
| 4 | 2019 | 56 | |
| 5 | 2018 | 52 | |
| 6 | 2020 | 50 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 38 | |
| 9 | 2021 | 35 | |
| 10 | 2018 | 30 | |
| 11 | 2018 | 29 | |
| 12 | 2020 | 28 | |
| 13 | 2021 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 12 |
About Kit‐Kay Mak
Kit‐Kay Mak is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Periodontics and Insect Science, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (6 papers), Ginger and Zingiberaceae research (5 papers), Synthesis and biological activity (5 papers), Oral microbiology and periodontitis research (4 papers), Natural Antidiabetic Agents Studies (3 papers), Phytochemical compounds biological activities (3 papers), Computational Drug Discovery Methods (3 papers) and Bee Products Chemical Analysis (3 papers). The work is most often cited by research in Health Informatics (90 citations), Computational Theory and Mathematics (305 citations), Pharmacology (92 citations), Biomaterials (137 citations) and Periodontics (34 citations). Kit‐Kay Mak has collaborated with scholars based in Malaysia, India and United Kingdom. Frequent co-authors include Mallikarjuna Rao Pichika, Madhu Katyayani Balijepalli, Hira Choudhury, Umer Daood, Shiming Zhang, Prashant Kesharwani, Zahid Hussain, Manisha Pandey, Yee Lin Phang and Bapi Gorain. Their work appears in journals such as Molecules, Scientific Reports, Drug Discovery Today, Antioxidants and Macromolecular Bioscience.
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.