Himansu Kumar

692 total citations
39 papers, 456 citations indexed

About

Himansu Kumar is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Himansu Kumar has authored 39 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Plant Science. Recurrent topics in Himansu Kumar's work include Computational Drug Discovery Methods (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Genomics and Phylogenetic Studies (4 papers). Himansu Kumar is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Genomics and Phylogenetic Studies (4 papers). Himansu Kumar collaborates with scholars based in India, South Korea and United States. Himansu Kumar's co-authors include Pritish Kumar Varadwaj, Utkarsh Raj, Saurabh Gupta, Jong‐Eun Park, Krishnamoorthy Srikanth, Dajeong Lim, Pora Kim, Woncheoul Park, Jun‐Mo Kim and A. R. Rao and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Gene.

In The Last Decade

Himansu Kumar

36 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Himansu Kumar India 14 231 69 69 50 50 39 456
G. Renuka Kumar United States 16 394 1.7× 62 0.9× 106 1.5× 13 0.3× 48 1.0× 22 771
Toshimitsu Hatabu Japan 14 176 0.8× 54 0.8× 32 0.5× 21 0.4× 17 0.3× 43 495
Zhangyi Qu China 14 246 1.1× 14 0.2× 30 0.4× 26 0.5× 63 1.3× 25 545
Md. Shahadat Hossain Bangladesh 16 179 0.8× 13 0.2× 116 1.7× 36 0.7× 38 0.8× 49 701
Yu‐Chih Yang Taiwan 12 251 1.1× 13 0.2× 49 0.7× 12 0.2× 40 0.8× 21 508
Harpreet Singh India 11 110 0.5× 50 0.7× 67 1.0× 5 0.1× 25 0.5× 72 433
Guijie Ren China 13 184 0.8× 17 0.2× 74 1.1× 8 0.2× 29 0.6× 33 488
Prasannavenkatesh Durai South Korea 12 158 0.7× 20 0.3× 18 0.3× 52 1.0× 12 0.2× 24 459
ROBERT FINN United Kingdom 15 197 0.9× 12 0.2× 146 2.1× 12 0.2× 30 0.6× 31 771
Chen Dong China 12 324 1.4× 17 0.2× 113 1.6× 14 0.3× 46 0.9× 28 540

Countries citing papers authored by Himansu Kumar

Since Specialization
Citations

This map shows the geographic impact of Himansu Kumar'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 Himansu Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Himansu Kumar more than expected).

Fields of papers citing papers by Himansu Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Himansu Kumar. 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 Himansu Kumar. The network helps show where Himansu Kumar may publish in the future.

Co-authorship network of co-authors of Himansu Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Himansu Kumar. A scholar is included among the top collaborators of Himansu Kumar 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 Himansu Kumar. Himansu Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bhardwaj, Amit, et al.. (2025). Effect of force-rate on continuous kinesthetic force discrimination. Experimental Brain Research. 243(5). 118–118.
2.
Kumar, Himansu & Pora Kim. (2024). Artificial intelligence in fusion protein three‐dimensional structure prediction: Review and perspective. Clinical and Translational Medicine. 14(8). e1789–e1789. 6 indexed citations
3.
Kumar, Himansu, et al.. (2023). FusionNeoAntigen: a resource of fusion gene-specific neoantigens. Nucleic Acids Research. 52(D1). D1276–D1288. 9 indexed citations
4.
Kumar, Himansu, et al.. (2023). FusionPDB: a knowledgebase of human fusion proteins. Nucleic Acids Research. 52(D1). D1289–D1304. 5 indexed citations
5.
Kim, Pora, Hua Tan, Jiajia Liu, Himansu Kumar, & Xiaobo Zhou. (2022). FusionAI, a DNA-sequence-based deep learning protocol reduces the false positives of human fusion gene prediction. STAR Protocols. 3(1). 101185–101185. 2 indexed citations
6.
Kim, Pora, Hua Tan, Jiajia Liu, et al.. (2021). FusionGDB 2.0: fusion gene annotation updates aided by deep learning. Nucleic Acids Research. 50(D1). D1221–D1230. 22 indexed citations
7.
Kumar, Himansu, et al.. (2020). Compositional and Functional Characteristics of Swine Slurry Microbes through 16S rRNA Metagenomic Sequencing Approach. Animals. 10(8). 1372–1372. 12 indexed citations
8.
Srikanth, Krishnamoorthy, Jong‐Eun Park, Sang Yun Ji, et al.. (2020). Genome-Wide Transcriptome and Metabolome Analyses Provide Novel Insights and Suggest a Sex-Specific Response to Heat Stress in Pigs. Genes. 11(5). 540–540. 18 indexed citations
9.
Sahu, Tanmaya Kumar, et al.. (2020). Computational identification of putative genes and vital amino acids involved in biennial rhythm in mango (Mangifera indica L.). Journal of Pharmacognosy and Phytochemistry. 9(6). 267–269. 2 indexed citations
10.
Kumar, Himansu, Krishnamoorthy Srikanth, Hyo-Jun Choo, et al.. (2019). Transcriptome of Chicken Liver Tissues Reveals the Candidate Genes and Pathways Responsible for Adaptation into Two Different Climatic Conditions. Animals. 9(12). 1076–1076. 10 indexed citations
11.
Kumar, Himansu, Krishnamoorthy Srikanth, Seung-Hoon Lee, et al.. (2019). Transcriptome analysis to identify long non coding RNA (lncRNA) and characterize their functional role in back fat tissue of pig. Gene. 703. 71–82. 29 indexed citations
12.
Kumar, Himansu, Woncheoul Park, Dajeong Lim, et al.. (2019). Whole metagenome sequencing of cecum microbiomes in Ethiopian indigenous chickens from two different altitudes reveals antibiotic resistance genes. Genomics. 112(2). 1988–1999. 27 indexed citations
13.
Srikanth, Krishnamoorthy, Himansu Kumar, Woncheoul Park, et al.. (2019). Cardiac and Skeletal Muscle Transcriptome Response to Heat Stress in Kenyan Chicken Ecotypes Adapted to Low and High Altitudes Reveal Differences in Thermal Tolerance and Stress Response. Frontiers in Genetics. 10. 197–197. 33 indexed citations
14.
Kumar, Himansu, Krishnamoorthy Srikanth, Bong‐Hwan Choi, et al.. (2019). Comparison of Bacterial Populations in the Ceca of Swine at Two Different Stages and Their Functional Annotations. Genes. 10(5). 382–382. 13 indexed citations
15.
Gupta, Saurabh, Yashbir Singh, Himansu Kumar, et al.. (2016). Identification of Novel Abiotic Stress Proteins in Triticum aestivum Through Functional Annotation of Hypothetical Proteins. Interdisciplinary Sciences Computational Life Sciences. 10(1). 205–220. 15 indexed citations
16.
Kumar, Himansu, Utkarsh Raj, Swati Srivastava, Saurabh Gupta, & Pritish Kumar Varadwaj. (2015). Identification of Dual Natural Inhibitors for Chronic Myeloid Leukemia by Virtual Screening, Molecular Dynamics Simulation and ADMET Analysis. Interdisciplinary Sciences Computational Life Sciences. 8(3). 241–252. 12 indexed citations
17.
Raj, Utkarsh, Himansu Kumar, Saurabh Gupta, & Pritish Kumar Varadwaj. (2015). Novel DOT1L ReceptorNatural Inhibitors Involved in Mixed Lineage Leukemia: a Virtual Screening, Molecular Docking and Dynamics Simulation Study. Asian Pacific Journal of Cancer Prevention. 16(9). 3817–3825. 21 indexed citations
18.
Gupta, Saurabh, Alka Jadaun, Himansu Kumar, et al.. (2015). Exploration of new drug-like inhibitors for serine/threonine protein phosphatase 5 ofPlasmodium falciparum: a docking and simulation study. Journal of Biomolecular Structure and Dynamics. 33(11). 2421–2441. 32 indexed citations
19.
Kumar, Himansu, et al.. (2015). Parameters Involved in Autophosphorylation in Chronic Myeloid Leukemia: a Systems Biology Approach. Asian Pacific Journal of Cancer Prevention. 16(13). 5273–5278. 1 indexed citations
20.
Kumar, Himansu, et al.. (2013). In-silico study of arylalkylamine-n-acetyltransferase enzyme to regulate circadian rhythmicity. Bioinformation. 9(15). 771–776. 2 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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