Leimarembi Devi Naorem
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- vaccines and immunoinformatics approaches
- Machine Learning in Bioinformatics
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
-
- vaccines and immunoinformatics approaches 7
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Circular RNAs in diseases 2
-
- Viral Infections and Outbreaks Research 3
- Viral Infections and Vectors 2
- Co-authors
- Gajendra P. S. Raghava (8 shared papers)Neelam Sharma (7 shared papers)Shipra Jain (2 shared papers)Anjali Dhall (3 shared papers)Sumeet Patiyal (3 shared papers)Chakit Arora (1 shared paper)Dilraj Kaur (2 shared papers)Indraneel Mittra (1 shared paper)
- Journals
- Computers in Biology and Medicine (3 papers)International Journal of Biological Macromolecules (2 papers)Briefings in Bioinformatics (1 paper)PLoS ONE (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- India
In The Last Decade
Leimarembi Devi Naorem
17 papers receiving 444 citations
Leimarembi Devi Naorem's Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 79
- Molecular Biology 315
- Microbiology 23
- Computational Theory and Mathematics 40
- Virology 11
Countries citing papers authored by Leimarembi Devi Naorem
This map shows the geographic impact of Leimarembi Devi Naorem'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 Leimarembi Devi Naorem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leimarembi Devi Naorem more than expected).
Fields of papers citing papers by Leimarembi Devi Naorem
This network shows the impact of papers produced by Leimarembi Devi Naorem. 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 Leimarembi Devi Naorem. The network helps show where Leimarembi Devi Naorem may publish in the future.
Co-authors
The 14 scholars most cited alongside Leimarembi Devi Naorem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ToxinPred2: an improved method for predicting toxicity of proteins Hit paper breakdown → | 2022 | 194 |
| 2 | 2018 | 51 | |
| 3 | 2019 | 37 | |
| 4 | 2018 | 33 | |
| 5 | 2021 | 32 | |
| 6 | 2018 | 18 | |
| 7 | 2021 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2022 | 0 | |
| 20 | 2023 | 0 |
About Leimarembi Devi Naorem
Leimarembi Devi Naorem is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 448 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (7 papers), Bioinformatics and Genomic Networks (3 papers), Viral Infections and Outbreaks Research (3 papers), Ferroptosis and cancer prognosis (2 papers), Gene expression and cancer classification (2 papers), Circular RNAs in diseases (2 papers), Viral Infections and Vectors (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Cancer Research (79 citations), Molecular Biology (315 citations), Microbiology (23 citations), Computational Theory and Mathematics (40 citations) and Virology (11 citations). Leimarembi Devi Naorem has collaborated with scholars based in India. Frequent co-authors include Gajendra P. S. Raghava, Neelam Sharma, Shipra Jain, Anjali Dhall, Sumeet Patiyal, Chakit Arora, Dilraj Kaur, Indraneel Mittra, Prakash Shetty and Vikas Singh. Their work appears in journals such as Computers in Biology and Medicine, International Journal of Biological Macromolecules, Briefings in Bioinformatics, PLoS ONE and Journal of Cellular 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.