Ravindra Kumar

1.7k total citations
56 papers, 1.4k citations indexed

About

Ravindra Kumar is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ravindra Kumar has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 25 papers in Plant Science and 7 papers in Genetics. Recurrent topics in Ravindra Kumar's work include Machine Learning in Bioinformatics (13 papers), Protein Structure and Dynamics (10 papers) and RNA and protein synthesis mechanisms (10 papers). Ravindra Kumar is often cited by papers focused on Machine Learning in Bioinformatics (13 papers), Protein Structure and Dynamics (10 papers) and RNA and protein synthesis mechanisms (10 papers). Ravindra Kumar collaborates with scholars based in India, United States and Israel. Ravindra Kumar's co-authors include Manish Kumar, Bandana Kumari, Pamela Stanley, Barry Potvin, W A Muller, Veena Agrawal, Kuldeep Sharma, Xiao-Jia Chang, Dale A. Cumming and Sarika Gupta and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ravindra Kumar

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravindra Kumar India 20 951 274 257 216 159 56 1.4k
Åke P. Elhammer United States 24 1.3k 1.3× 416 1.5× 203 0.8× 68 0.3× 414 2.6× 47 1.8k
Arne Homann Germany 13 412 0.4× 98 0.4× 127 0.5× 100 0.5× 141 0.9× 19 950
Zhang Yang Denmark 28 1.5k 1.6× 476 1.7× 40 0.2× 188 0.9× 279 1.8× 60 2.0k
Makram Essafi Tunisia 18 544 0.6× 188 0.7× 116 0.5× 75 0.3× 23 0.1× 29 1.0k
Hiroto Yamaguchi Japan 15 1.1k 1.1× 205 0.7× 24 0.1× 193 0.9× 113 0.7× 28 1.9k
Kiran V. Mahasenan United States 22 519 0.5× 49 0.2× 194 0.8× 47 0.2× 274 1.7× 38 1.2k
Yehuda Goldgur United States 19 1.4k 1.4× 121 0.4× 26 0.1× 164 0.8× 149 0.9× 50 2.0k
Jean‐Pierre Zanetta France 21 1.2k 1.2× 524 1.9× 43 0.2× 60 0.3× 326 2.1× 53 1.5k
Pengfei Fang China 19 821 0.9× 125 0.5× 58 0.2× 33 0.2× 179 1.1× 59 1.1k
Mark W. Knuth United States 21 1.5k 1.6× 179 0.7× 58 0.2× 124 0.6× 41 0.3× 38 2.0k

Countries citing papers authored by Ravindra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ravindra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravindra Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ravindra Kumar. A scholar is included among the top collaborators of Ravindra 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 Ravindra Kumar. Ravindra 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.
Beric, Aleksandra, Yi-Chen Sun, Santiago Sánchez-Vicente, et al.. (2024). Circulating blood circular RNA in Parkinson’s Disease; from involvement in pathology to diagnostic tools in at-risk individuals. npj Parkinson s Disease. 10(1). 222–222. 2 indexed citations
2.
Kumari, Suman, et al.. (2023). Effect of Different Levels of Irrigation on Plant Growth and Yield of Mango cv. Langra. Current Journal of Applied Science and Technology. 42(6). 19–25.
3.
Kumar, Ravindra, et al.. (2018). BlaPred: Predicting and classifying β-lactamase using a 3-tier prediction system via Chou's general PseAAC. Journal of Theoretical Biology. 457. 29–36. 41 indexed citations
4.
Kumar, Ravindra, Bandana Kumari, & Manish Kumar. (2017). Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machine. PeerJ. 5. e3561–e3561. 22 indexed citations
5.
Kumar, Ravindra, Bandana Kumari, & Manish Kumar. (2016). PredHSP: Sequence Based Proteome-Wide Heat Shock Protein Prediction and Classification Tool to Unlock the Stress Biology. PLoS ONE. 11(5). e0155872–e0155872. 16 indexed citations
6.
Kumari, Bandana, Ravindra Kumar, & Manish Kumar. (2014). Low complexity and disordered regions of proteins have different structural and amino acid preferences. Molecular BioSystems. 11(2). 585–594. 31 indexed citations
7.
Kumar, Ravindra, et al.. (2014). Molecular characterization of mango (Mangifera indica L.) using rapd markers.. Annals of Horticulture. 7(1). 17–19. 1 indexed citations
8.
Kumari, Bandana, Ravindra Kumar, & Manish Kumar. (2014). PalmPred: An SVM Based Palmitoylation Prediction Method Using Sequence Profile Information. PLoS ONE. 9(2). e89246–e89246. 50 indexed citations
9.
Kumar, Ravindra, et al.. (2014). Prediction of β-lactamase and its class by Chou’s pseudo-amino acid composition and support vector machine. Journal of Theoretical Biology. 365. 96–103. 122 indexed citations
10.
Kumar, Ravindra, et al.. (2014). NRfamPred: A proteome-scale two level method for prediction of nuclear receptor proteins and their sub-families. Scientific Reports. 4(1). 6810–6810. 12 indexed citations
11.
Kumar, Ravindra, et al.. (2013). Estimation of genetic variability among papaya (Carica papaya L.) germplasm using rapd markers. Annals of Horticulture. 6(2). 260–266. 1 indexed citations
12.
Kumar, Ravindra, et al.. (2012). Evaluation of genetic diversity in rice using simple sequence repeats (SSR) markers. AFRICAN JOURNAL OF BIOTECHNOLOGY. 11(84). 14988–14995. 7 indexed citations
13.
Singh, Ashwani Kumar, et al.. (2011). Studies on Genetic Variability in Rice Using Molecular Markers. Vegetos. 24(1). 123–131. 5 indexed citations
14.
Kumar, Ravindra, et al.. (2010). RAPD-analysis of genetic variation of four important rice varieties using two OPR primers.. Journal of agricultural and biological science. 5(4). 12–15. 5 indexed citations
15.
Kumar, Ravindra, et al.. (2009). Studies on mealy bug, Phenacoccus solenopsis Tinsley on transgenic cotton in North India. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
16.
Monga, D., et al.. (2007). Characterization of cotton root rot pathogens - Rhizoctonia so/ani and R. batatico/a using RAPD and morphological markers. Indian Phytopathology. 60(2). 259–263. 1 indexed citations
17.
Kumar, Ravindra, et al.. (2006). Breeding pomegranate for fruit attributes and resistance to bacterial blight. Indian Journal of Horticulture. 63(4). 352–358. 8 indexed citations
18.
Kumar, Ravindra, et al.. (2004). Crossability in pomegranate (Punica granatum L.). Indian Journal of Horticulture. 61(3). 209–210. 19 indexed citations
19.
Sullivan, Francis X., Ravindra Kumar, Ronald Kriz, et al.. (1998). Molecular Cloning of Human GDP-mannose 4,6-Dehydratase and Reconstitution of GDP-fucose Biosynthesis in Vitro. Journal of Biological Chemistry. 273(14). 8193–8202. 139 indexed citations
20.
Vachino, Gloria, Geertruida M. Veldman, Ravindra Kumar, et al.. (1995). P-selectin Glycoprotein Ligand-1 Is the Major Counter-receptor for P-selectin on Stimulated T Cells and Is Widely Distributed in Non-functional Form on Many Lymphocytic Cells. Journal of Biological Chemistry. 270(37). 21966–21974. 137 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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