Malathi Kullappan
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
-
- Computational Drug Discovery Methods
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Sudha Ramaiah (9 shared papers)Anand Anbarasu (6 shared papers)Krishna Mohan Surapaneni (12 shared papers)Vishnu Priya Veeraraghavan (11 shared papers)Harpreet Singh (1 shared paper)Vivek Anand Manivel (1 shared paper)Shankargouda Patil (2 shared papers)Selvaraj Jayaraman (2 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (5 papers)Journal of Cellular Biochemistry (3 papers)Cell Biochemistry and Biophysics (2 papers)BioMed Research International (1 paper)Process Biochemistry (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Malathi Kullappan
23 papers receiving 365 citations
Peers
Comparison fields: 5 of 82
- Molecular Medicine 35
- Computational Theory and Mathematics 101
- Toxicology 13
- Infectious Diseases 65
- Pharmacology 25
Countries citing papers authored by Malathi Kullappan
This map shows the geographic impact of Malathi Kullappan'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 Malathi Kullappan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malathi Kullappan more than expected).
Fields of papers citing papers by Malathi Kullappan
This network shows the impact of papers produced by Malathi Kullappan. 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 Malathi Kullappan. The network helps show where Malathi Kullappan may publish in the future.
Co-authors
The 19 scholars most cited alongside Malathi Kullappan, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 46 | |
| 2 | 2017 | 42 | |
| 3 | 2017 | 34 | |
| 4 | 2018 | 30 | |
| 5 | 2019 | 27 | |
| 6 | 2018 | 23 | |
| 7 | 2021 | 18 | |
| 8 | 2016 | 18 | |
| 9 | 2016 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2019 | 5 |
About Malathi Kullappan
Malathi Kullappan is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Molecular Medicine and Oncology, having authored 23 papers that have together received 368 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Antibiotic Resistance in Bacteria (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vibrio bacteria research studies (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Malaria Research and Control (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Molecular Medicine (35 citations), Computational Theory and Mathematics (101 citations), Toxicology (13 citations), Infectious Diseases (65 citations) and Pharmacology (25 citations). Malathi Kullappan has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Sudha Ramaiah, Anand Anbarasu, Krishna Mohan Surapaneni, Vishnu Priya Veeraraghavan, Harpreet Singh, Vivek Anand Manivel, Shankargouda Patil, Selvaraj Jayaraman, Sudarsanam Dorairaj and Shilpa Bhandi. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Journal of Cellular Biochemistry, Cell Biochemistry and Biophysics, BioMed Research International and Process Biochemistry.
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.