Anup Kumar

2.3k total citations
15 papers, 168 citations indexed

About

Anup Kumar is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Anup Kumar has authored 15 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Artificial Intelligence. Recurrent topics in Anup Kumar's work include RNA and protein synthesis mechanisms (4 papers), Machine Learning in Materials Science (3 papers) and RNA Research and Splicing (3 papers). Anup Kumar is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Machine Learning in Materials Science (3 papers) and RNA Research and Splicing (3 papers). Anup Kumar collaborates with scholars based in Germany, United States and India. Anup Kumar's co-authors include M.A.Q. Siddiqui, Björn Grüning, Simon Bray, Shyamal K. Goswami, Eduardo Mascareno, Xavier Lucas, Meijuan Zhou, Rolf Backofen, Pankaj Qasba and E. Lin and has published in prestigious journals such as Nature Communications, Molecular and Cellular Biology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Anup Kumar

15 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anup Kumar Germany	8	114	37	23	20	12	15	168
P. Reinke Germany	5	83 0.7×	17 0.5×	70 3.0×	11 0.6×	7 0.6×	9	154
Annie M. Westerlund Sweden	10	224 2.0×	52 1.4×	55 2.4×	48 2.4×	10 0.8×	17	309
Zhiwei Ma United States	9	90 0.8×	26 0.7×	34 1.5×	36 1.8×	23 1.9×	15	137
Yasuyo Ikegawa Japan	4	129 1.1×	4 0.1×	59 2.6×	29 1.4×	2 0.2×	6	156
Marta Frigolé‐Vivas Spain	7	158 1.4×	6 0.2×	24 1.0×	12 0.6×	5 0.4×	8	226
Rabindra V. Shivnaraine United States	8	151 1.3×	13 0.4×	11 0.5×	42 2.1×	1 0.1×	12	233
Mohsen Pourmousa United States	9	192 1.7×	10 0.3×	5 0.2×	6 0.3×	35 2.9×	12	271
Qijin Yin China	9	217 1.9×	20 0.5×	17 0.7×	70 3.5×		11	267
Takahiro KUDOU Japan	4	123 1.1×	3 0.1×	60 2.6×	16 0.8×		6	145
Melanie L. Aprahamian United States	4	83 0.7×	10 0.3×	28 1.2×	16 0.8×	5 0.4×	4	108

Countries citing papers authored by Anup Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Anup Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anup Kumar

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

All Works

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15 of 15 papers shown

Kumar, Anup, Xingyi Guan, Eric Hermes, et al.. (2024). Analytical ab initio hessian from a deep learning potential for transition state optimization. Nature Communications. 15(1). 8865–8865. 15 indexed citations

Härdtner, Carmen, Anup Kumar, Bianca Dufner, et al.. (2023). A comparative gene expression matrix in Apoe-deficient mice identifies unique and atherosclerotic disease stage-specific gene regulation patterns in monocytes and macrophages. Atherosclerosis. 371. 1–13. 7 indexed citations

Agarwal, Gaurav, Anup Kumar, Sabaretnam Mayilvaganan, et al.. (2023). Cost‐Efficacy Analysis of Use of Frozen Section Histology for Margin Assessment During Breast Conservation Surgery in Breast Cancer Patients. World Journal of Surgery. 47(10). 2457–2463. 2 indexed citations

Kumar, Anup, Sasha Beyer, Aline Paixão Becker, et al.. (2023). Hypoxia-Inducible Transgelin-2 Confers Treatment Resistance through Activation of PI3K/Akt/GSK3β Pathway in Glioblastoma. International Journal of Radiation Oncology*Biology*Physics. 117(2). e121–e121. 1 indexed citations

Kumar, Anup, Björn Grüning, & Rolf Backofen. (2023). Transformer-based tool recommendation system in Galaxy. BMC Bioinformatics. 24(1). 446–446. 1 indexed citations

Kumar, Anup, et al.. (2023). Use of appropriate statistical tools in biomedical research: Current trend & status. International Journal of Microbiology Research. 157(4). 353–357. 1 indexed citations

Kumar, Anup, Gianmauro Cuccuru, Björn Grüning, & Rolf Backofen. (2022). An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy. GigaScience. 12. 4 indexed citations

Kumar, Anup, Helena Rasche, Björn Grüning, & Rolf Backofen. (2021). Tool recommender system in Galaxy using deep learning. GigaScience. 10(1). 6 indexed citations

Videm, Pavankumar, et al.. (2021). ChiRA: an integrated framework for chimeric read analysis from RNA-RNA interactome and RNA structurome data. GigaScience. 10(2). 10 indexed citations

10.

Kumar, Anup, et al.. (2021). Graph-Theory-Based Molecular Fragmentation for Efficient and Accurate Potential Surface Calculations in Multiple Dimensions. Journal of Chemical Theory and Computation. 17(11). 6671–6690. 10 indexed citations

11.

Gu, Qiang, Anup Kumar, Simon Bray, et al.. (2021). Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine. PLoS Computational Biology. 17(6). e1009014–e1009014. 9 indexed citations

12.

Bray, Simon, Xavier Lucas, Anup Kumar, & Björn Grüning. (2020). The ChemicalToolbox: reproducible, user-friendly cheminformatics analysis on the Galaxy platform. Journal of Cheminformatics. 12(1). 40–40. 31 indexed citations

13.

Zhou, Meijuan, Yongquan Wu, Anup Kumar, & M.A.Q. Siddiqui. (1992). Mechanism of tissue-specific transcription: interplay between positive and negative regulatory factors.. PubMed. 2(2). 127–38. 4 indexed citations

14.

Qasba, Pankaj, E. Lin, Meijuan Zhou, Anup Kumar, & M.A.Q. Siddiqui. (1992). A single transcription factor binds to two divergent sequence elements with a common function in cardiac myosin light chain-2 promoter.. Molecular and Cellular Biology. 12(3). 1107–1116. 23 indexed citations

15.

Goswami, Shyamal K., et al.. (1991). Tissue-specific transcription of the cardiac myosin light-chain 2 gene is regulated by an upstream repressor element.. Molecular and Cellular Biology. 11(3). 1676–1685. 44 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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