Ambuj Kumar

1.1k total citations
37 papers, 840 citations indexed

About

Ambuj Kumar is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Ambuj Kumar has authored 37 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 13 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Ambuj Kumar's work include Microtubule and mitosis dynamics (10 papers), Protein Structure and Dynamics (7 papers) and Cellular transport and secretion (5 papers). Ambuj Kumar is often cited by papers focused on Microtubule and mitosis dynamics (10 papers), Protein Structure and Dynamics (7 papers) and Cellular transport and secretion (5 papers). Ambuj Kumar collaborates with scholars based in India, Italy and United States. Ambuj Kumar's co-authors include Rituraj Purohit, Rao Sethumadhavan, Vidya Rajendran, Robert L. Jernigan, Priyank Shukla, Karin S. Dorman, Balu Kamaraj, Rajiv Dahiya, Burak Kaynak and Pemra Doruker and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Ambuj Kumar

36 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ambuj Kumar India 16 627 129 108 101 97 37 840
András Zeke Hungary 13 906 1.4× 148 1.1× 69 0.6× 87 0.9× 120 1.2× 25 1.2k
Koto Hayakawa Canada 12 789 1.3× 82 0.6× 107 1.0× 88 0.9× 120 1.2× 21 1.0k
Robert R. Lavieri United States 11 440 0.7× 114 0.9× 61 0.6× 55 0.5× 60 0.6× 17 685
Tong Ying Shun United States 21 686 1.1× 89 0.7× 64 0.6× 139 1.4× 223 2.3× 35 1.4k
Heming Xing United States 17 1.1k 1.8× 176 1.4× 88 0.8× 52 0.5× 122 1.3× 23 1.4k
Ireos Filipuzzi Switzerland 13 687 1.1× 121 0.9× 141 1.3× 67 0.7× 74 0.8× 21 897
Bridget Stensgard United States 14 1.6k 2.5× 174 1.3× 107 1.0× 145 1.4× 128 1.3× 17 1.8k
Dezső Módos United Kingdom 15 747 1.2× 53 0.4× 84 0.8× 126 1.2× 88 0.9× 37 1.1k
Shiying Chen China 16 1.2k 1.9× 111 0.9× 128 1.2× 75 0.7× 139 1.4× 39 1.5k
Bernardo Ochoa‐Montaño United Kingdom 9 822 1.3× 88 0.7× 161 1.5× 124 1.2× 57 0.6× 13 1.1k

Countries citing papers authored by Ambuj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ambuj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ambuj Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ambuj Kumar. A scholar is included among the top collaborators of Ambuj 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 Ambuj Kumar. Ambuj 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.
Kumar, Ambuj, et al.. (2024). AMLdb: a comprehensive multi-omics platform to identify biomarkers and drug targets for acute myeloid leukemia. Briefings in Functional Genomics. 23(6). 798–805. 1 indexed citations
2.
Kumar, Ambuj, et al.. (2024). MyeloDB: a multi-omics resource for multiple myeloma. Functional & Integrative Genomics. 24(1). 17–17. 3 indexed citations
3.
Łuchniak, Anna, Ambuj Kumar, I Schneider, et al.. (2024). Tubulin CFEOM mutations both inhibit or activate kinesin motor activity. Molecular Biology of the Cell. 35(3). ar32–ar32. 2 indexed citations
4.
Kumar, Ambuj, Burak Kaynak, Karin S. Dorman, Pemra Doruker, & Robert L. Jernigan. (2023). Predicting allosteric pockets in protein biological assemblages. Bioinformatics. 39(5). 15 indexed citations
5.
Kumar, Ambuj, et al.. (2021). hdANM: a new comprehensive dynamics model for protein hinges. Biophysical Journal. 120(22). 4955–4965. 5 indexed citations
6.
Kumar, Ambuj & Rituraj Purohit. (2014). Use of Long Term Molecular Dynamics Simulation in Predicting Cancer Associated SNPs. PLoS Computational Biology. 10(4). e1003318–e1003318. 99 indexed citations
7.
Kumar, Ambuj, Vidya Rajendran, Rao Sethumadhavan, & Rituraj Purohit. (2014). Role of Centrosome in Regulating Immune Response. Current Drug Targets. 15(5). 558–563. 2 indexed citations
8.
Kumar, Ambuj, Vidya Rajendran, Rao Sethumadhavan, & Rituraj Purohit. (2013). AKT Kinase Pathway: A Leading Target in Cancer Research. The Scientific World JOURNAL. 2013(1). 756134–756134. 70 indexed citations
9.
Kumar, Ambuj, Vidya Rajendran, Rao Sethumadhavan, & Rituraj Purohit. (2013). Roadmap to determine the point mutations involved in cardiomyopathy disorder: A Bayesian approach. Gene. 519(1). 34–40. 16 indexed citations
10.
Kumar, Ambuj, Vidya Rajendran, Rao Sethumadhavan, & Rituraj Purohit. (2013). Molecular Dynamic Simulation Reveals Damaging Impact of RAC1 F28L Mutation in the Switch I Region. PLoS ONE. 8(10). e77453–e77453. 57 indexed citations
11.
Kumar, Ambuj, Vidya Rajendran, Rao Sethumadhavan, & Rituraj Purohit. (2013). Relationship between a point mutation S97C in CK1δ protein and its affect on ATP-binding affinity. Journal of Biomolecular Structure and Dynamics. 32(3). 394–405. 37 indexed citations
12.
Kamaraj, Balu, Ambuj Kumar, & Rituraj Purohit. (2013). Evolutionary Reconstruction and Population Genetics Analysis of Aurora Kinases. PLoS ONE. 8(9). e75763–e75763. 4 indexed citations
13.
Kumar, Ambuj, Vidya Rajendran, Rao Sethumadhavan, & Rituraj Purohit. (2013). CEP proteins: the knights of centrosome dynasty. PROTOPLASMA. 250(5). 965–983. 75 indexed citations
14.
Kumar, Ambuj, et al.. (2013). Computational SNP Analysis: Current Approaches and Future Prospects. Cell Biochemistry and Biophysics. 68(2). 233–239. 59 indexed citations
15.
Kumar, Ambuj, Balu Kamaraj, Rao Sethumadhavan, & Rituraj Purohit. (2013). Evolution driven structural changes in CENP-E motor domain. Interdisciplinary Sciences Computational Life Sciences. 5(2). 102–111. 5 indexed citations
16.
Kumar, Ambuj, Vidya Rajendran, Rao Sethumadhavan, & Rituraj Purohit. (2013). Identifying novel oncogenes: A machine learning approach. Interdisciplinary Sciences Computational Life Sciences. 5(4). 241–246. 16 indexed citations
17.
Kumar, Ambuj & Rituraj Purohit. (2013). Cancer Associated E17K Mutation Causes Rapid Conformational Drift in AKT1 Pleckstrin Homology (PH) Domain. PLoS ONE. 8(5). e64364–e64364. 49 indexed citations
18.
Kumar, Ambuj & Rituraj Purohit. (2012). Computational screening and molecular dynamics simulation of disease associated nsSNPs in CENP-E. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 738-739. 28–37. 67 indexed citations
19.
Kumar, Ambuj & Rituraj Purohit. (2012). Computational investigation of pathogenic nsSNPs in CEP63 protein. Gene. 503(1). 75–82. 57 indexed citations
20.
Kumar, Ambuj. (2012). Conceptual Modelling of Telapathic Network. 2(5). 1 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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