Leimarembi Devi Naorem

809 total citations · 1 hit paper
22 papers, 458 citations indexed

About

Leimarembi Devi Naorem is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Leimarembi Devi Naorem has authored 22 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Infectious Diseases and 6 papers in Oncology. Recurrent topics in Leimarembi Devi Naorem's work include vaccines and immunoinformatics approaches (7 papers), Computational Drug Discovery Methods (4 papers) and Viral Infections and Outbreaks Research (3 papers). Leimarembi Devi Naorem is often cited by papers focused on vaccines and immunoinformatics approaches (7 papers), Computational Drug Discovery Methods (4 papers) and Viral Infections and Outbreaks Research (3 papers). Leimarembi Devi Naorem collaborates with scholars based in India. Leimarembi Devi Naorem's co-authors include Gajendra P. S. Raghava, Neelam Sharma, Shipra Jain, Sumeet Patiyal, Radha Mahendran, Anjali Dhall, Dilraj Kaur, Chakit Arora, Akanksha Arora and Vikas Singh and has published in prestigious journals such as PLoS ONE, Virology and Journal of Cellular Physiology.

In The Last Decade

Leimarembi Devi Naorem

20 papers receiving 453 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ToxinPred2: an improved method for predicting toxicity of proteins

2022 168 citations Neelam Sharma, Leimarembi Devi Naorem et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Leimarembi Devi Naorem India	10	347	102	59	58	44	22	458
Aamir Mehmood China	14	298 0.9×	41 0.4×	47 0.8×	108 1.9×	63 1.4×	40	479
Sumit Mukherjee Israel	14	301 0.9×	68 0.7×	30 0.5×	30 0.5×	57 1.3×	40	521
Dieter Galea United Kingdom	10	329 0.9×	103 1.0×	25 0.4×	25 0.4×	40 0.9×	14	482
Romana Ishrat India	15	307 0.9×	49 0.5×	24 0.4×	65 1.1×	52 1.2×	54	584
Surender Mohan India	12	232 0.7×	29 0.3×	104 1.8×	42 0.7×	54 1.2×	23	450
Ravi Datta Sharma India	13	337 1.0×	87 0.9×	12 0.2×	54 0.9×	30 0.7×	29	553
Sheng‐Wei Lin Taiwan	14	426 1.2×	33 0.3×	35 0.6×	48 0.8×	129 2.9×	39	674
Jennifer McCall United States	12	396 1.1×	44 0.4×	16 0.3×	51 0.9×	36 0.8×	18	536

Countries citing papers authored by Leimarembi Devi Naorem

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Leimarembi Devi Naorem

This figure shows the co-authorship network connecting the top 25 collaborators of Leimarembi Devi Naorem. A scholar is included among the top collaborators of Leimarembi Devi Naorem based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leimarembi Devi Naorem. Leimarembi Devi Naorem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Naorem, Leimarembi Devi, Aliasgar Moiyadi, Vikas Singh, et al.. (2025). Attenuation of malignant phenotype of glioblastoma following a short course of the pro-oxidant combination of Resveratrol and Copper. PubMed. 3(1). 68–68.

Sharma, Neelam, et al.. (2024). A method for predicting linear and conformational B-cell epitopes in an antigen from its primary sequence. Computers in Biology and Medicine. 170. 108083–108083. 6 indexed citations

Arora, Akanksha, et al.. (2023). A random forest model for predicting exosomal proteins using evolutionary information and motifs. PROTEOMICS. 24(6). e2300231–e2300231. 8 indexed citations

Naorem, Leimarembi Devi, Neelam Sharma, & Gajendra P. S. Raghava. (2023). A web server for predicting and scanning of IL-5 inducing peptides using alignment-free and alignment-based method. Computers in Biology and Medicine. 158. 106864–106864. 9 indexed citations

Naorem, Leimarembi Devi, et al.. (2022). Identification of potential key genes related to idiopathic male infertility using RNA-sequencing data: an in-silico approach. Human Fertility. 26(5). 1149–1163. 6 indexed citations

Dhall, Anjali, Shipra Jain, Neelam Sharma, et al.. (2022). In silico tools and databases for designing cancer immunotherapy. Advances in protein chemistry and structural biology. 129. 1–50.

Sharma, Neelam, Leimarembi Devi Naorem, Shipra Jain, & Gajendra P. S. Raghava. (2022). ToxinPred2: an improved method for predicting toxicity of proteins. Briefings in Bioinformatics. 23(5). 168 indexed citations breakdown →

Sharma, Neelam, Sumeet Patiyal, Anjali Dhall, Leimarembi Devi Naorem, & Gajendra P. S. Raghava. (2021). ChAlPred: A web server for prediction of allergenicity of chemical compounds. Computers in Biology and Medicine. 136. 104746–104746. 29 indexed citations

Dhall, Anjali, Sumeet Patiyal, Neelam Sharma, Leimarembi Devi Naorem, & Gajendra P. S. Raghava. (2021). Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associated cytokine storm. Computers in Biology and Medicine. 137. 104780–104780. 11 indexed citations

10.

Naorem, Leimarembi Devi, et al.. (2021). Ebolabase: Zaire ebolavirus-human protein interaction database for drug-repurposing. International Journal of Biological Macromolecules. 182. 1384–1391. 6 indexed citations

11.

Arora, Chakit, Dilraj Kaur, Leimarembi Devi Naorem, & Gajendra P. S. Raghava. (2021). Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway. PLoS ONE. 16(11). e0259534–e0259534. 11 indexed citations

12.

Naorem, Leimarembi Devi, et al.. (2020). Understanding of Zaire ebolavirus–human protein interaction for drug repurposing. VirusDisease. 31(1). 28–37. 6 indexed citations

13.

Naorem, Leimarembi Devi, et al.. (2019). Comprehensive analysis of dysregulated lncRNAs and their competing endogenous RNA network in triple-negative breast cancer. International Journal of Biological Macromolecules. 145. 429–436. 37 indexed citations

14.

Naorem, Leimarembi Devi, et al.. (2018). Identification of dysregulated miRNAs in triple negative breast cancer: A meta‐analysis approach. Journal of Cellular Physiology. 234(7). 11768–11779. 50 indexed citations

15.

Naorem, Leimarembi Devi, et al.. (2018). Integrated network analysis and machine learning approach for the identification of key genes of triple‐negative breast cancer. Journal of Cellular Biochemistry. 120(4). 6154–6167. 31 indexed citations

16.

Naorem, Leimarembi Devi, et al.. (2018). Identification of Hub Genes and Pathways in Zika Virus Infection Using RNA-Seq Data: A Network-Based Computational Approach. Viral Immunology. 31(4). 321–332. 8 indexed citations

17.

Naorem, Leimarembi Devi, et al.. (2018). Integrated transcriptome interactome study of oncogenes and tumor suppressor genes in breast cancer. Genes & Diseases. 6(1). 78–87. 18 indexed citations

18.

Naorem, Leimarembi Devi, et al.. (2017). ZikaBase: An integrated ZIKV- Human Interactome Map database. Virology. 514. 203–210. 12 indexed citations

19.

Naorem, Leimarembi Devi, et al.. (2016). Expression Data Analysis for the Identification of Potential Biomarker of Pregnancy Associated Breast Cancer. Pathology & Oncology Research. 23(3). 537–544. 7 indexed citations

20.

Mahendran, Radha, et al.. (2014). In Silico Docking Studies of Selected Flavonoids - Natural Healing Agents against Breast Cancer. Asian Pacific Journal of Cancer Prevention. 15(19). 8155–8159. 30 indexed citations

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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