Anil Kumar

6.0k total citations · 1 hit paper
138 papers, 4.4k citations indexed

About

Anil Kumar is a scholar working on Spectroscopy, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Anil Kumar has authored 138 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Spectroscopy, 26 papers in Artificial Intelligence and 24 papers in Molecular Biology. Recurrent topics in Anil Kumar's work include Advanced NMR Techniques and Applications (30 papers), NMR spectroscopy and applications (24 papers) and Quantum Information and Cryptography (23 papers). Anil Kumar is often cited by papers focused on Advanced NMR Techniques and Applications (30 papers), NMR spectroscopy and applications (24 papers) and Quantum Information and Cryptography (23 papers). Anil Kumar collaborates with scholars based in India, United States and Canada. Anil Kumar's co-authors include Tom C. Hobman, Ralf Bartenschlager, Shangmei Hou, Dean F. Wong, Adriana M. Airo, James Robert Brašić, Kavita Dorai, Christopher Power, Daniel Limonta and William G. Branton and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Anil Kumar

134 papers receiving 4.3k citations

Hit Papers

In Vivo Imaging of Amyloid Deposition in Alzheimer Diseas... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anil Kumar India 35 1.1k 911 785 617 570 138 4.4k
Mikio Namiki Japan 53 2.8k 2.5× 106 0.1× 467 0.6× 176 0.3× 669 1.2× 555 10.7k
Xiuyan Wang China 33 1.7k 1.5× 676 0.7× 441 0.6× 705 1.1× 128 0.2× 161 7.6k
Richard A. Goldstein United States 51 4.3k 3.9× 410 0.5× 119 0.2× 284 0.5× 221 0.4× 185 7.9k
David Fenyö United States 50 5.7k 5.2× 324 0.4× 354 0.5× 2.3k 3.7× 161 0.3× 192 9.8k
Brian T. Luke United States 35 1.3k 1.2× 525 0.6× 209 0.3× 471 0.8× 68 0.1× 121 4.1k
Michael R. Peterson United States 43 1.3k 1.2× 108 0.1× 183 0.2× 933 1.5× 352 0.6× 169 7.6k
Jarek Meller United States 42 3.3k 3.0× 942 1.0× 84 0.1× 267 0.4× 247 0.4× 125 6.5k
Sergey M. Bezrukov United States 55 5.9k 5.4× 428 0.5× 238 0.3× 211 0.3× 436 0.8× 225 9.7k
Ting Ran China 19 4.1k 3.7× 511 0.6× 77 0.1× 360 0.6× 344 0.6× 60 5.7k
Ingo Ruczinski United States 40 3.9k 3.5× 88 0.1× 228 0.3× 384 0.6× 331 0.6× 146 6.5k

Countries citing papers authored by Anil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Kumar. A scholar is included among the top collaborators of Anil 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 Anil Kumar. Anil 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.
Xu, Zaikun, Mohamed Elaish, Bardes B. Hassan, et al.. (2024). The Wnt/β-catenin pathway is important for replication of SARS-CoV-2 and other pathogenic RNA viruses. PubMed. 2(1). 6–6. 7 indexed citations
2.
Bhanumathy, Kalpana K., J. Lew, Anil Kumar, et al.. (2023). Generation of a SARS-CoV-2 Reverse Genetics System and Novel Human Lung Cell Lines That Exhibit High Virus-Induced Cytopathology. Viruses. 15(6). 1281–1281. 7 indexed citations
3.
Snyman, Jumari, et al.. (2023). California Serogroup Viruses in a Changing Canadian Arctic: A Review. Viruses. 15(6). 1242–1242. 7 indexed citations
4.
López-Orozco, Joaquín, Mohamed Elaish, Darryl Falzarano, et al.. (2023). The RNA Interference Effector Protein Argonaute 2 Functions as a Restriction Factor Against SARS-CoV-2. Journal of Molecular Biology. 435(16). 168170–168170. 7 indexed citations
6.
Shenoy, Veena, et al.. (2022). Dengue Seropositivity among Blood Donors in a Tertiary Hospital in Kerala, Southern India. Annals of African Medicine. 21(1). 39–42.
7.
Kumar, Anil, Joaquín López-Orozco, Mohamed Elaish, et al.. (2021). SARS-CoV-2 Nonstructural Protein 1 Inhibits the Interferon Response by Causing Depletion of Key Host Signaling Factors. Journal of Virology. 95(13). e0026621–e0026621. 69 indexed citations
8.
Griffiths, Cameron, Leanne M. Bilawchuk, John E. McDonough, et al.. (2020). Publisher Correction: IGF1R is an entry receptor for respiratory syncytial virus. Nature. 583(7815). E22–E22. 5 indexed citations
9.
Singaravelu, Ragunath, Daniel M. Jones, Ran Chen, et al.. (2015). MicroRNAs regulate the immunometabolic response to viral infection in the liver. Nature Chemical Biology. 11(12). 988–993. 56 indexed citations
10.
Ari, Ari, et al.. (2014). String Matching Rules Used by Variants of Boyer-Moore Algorithm. Journal of Global Research in Computer Sciences. 5(1). 8–11. 5 indexed citations
11.
Kumar, Anil, et al.. (2013). Fast and accurate quantification using Genetic Algorithm optimized 1H-13C refocused constant-time INEPT. Journal of Magnetic Resonance. 234. 106–111. 10 indexed citations
12.
Wong, Dean F., Paul B. Rosenberg, Yun Zhou, et al.. (2010). In Vivo Imaging of Amyloid Deposition in Alzheimer Disease Using the Radioligand 18F-AV-45 (Flobetapir F 18). Journal of Nuclear Medicine. 51(6). 913–920. 517 indexed citations breakdown →
13.
Matula, Petr, Anil Kumar, Holger Erfle, et al.. (2008). Single‐cell‐based image analysis of high‐throughput cell array screens for quantification of viral infection. Cytometry Part A. 75A(4). 309–318. 33 indexed citations
14.
Kumar, Anil, et al.. (2007). Experimental implementation of a three qubit quantum game with corrupt source using nuclear magnetic resonance quantum information processor. Journal of Magnetic Resonance. 187(2). 306–313. 22 indexed citations
15.
Mukhopadhyay, R., S. Mitra, Anil Kumar, et al.. (2002). Rotational dynamics of propane in Na-Y zeolite: A molecular dynamics and quasielastic neutron-scattering study. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(6). 61201–61201. 34 indexed citations
16.
Arvind, Arvind, Kavita Dorai, & Anil Kumar. (2001). Quantum entanglement in the NMR implementation of the Deutsch-Jozsa algorithm. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 8 indexed citations
17.
Yang, Qiwei, Kosuke Ota, Yufeng Tian, et al.. (1999). Cloning of Rat Fibrillin-2 cDNA and Its Role in Branching Morphogenesis of Embryonic Lung. Developmental Biology. 212(1). 229–242. 25 indexed citations
18.
Wallner, Elisabeth I., Anil Kumar, Frank A. Carone, & Yashpal S. Kanwar. (1998). Growth Factors in Metanephric Development. Renal Failure. 20(2). 331–341. 2 indexed citations
19.
Ajithkumar, T. G., et al.. (1998). Off-Resonance Effects in Two-Dimensional NQR Spectroscopy Using a Single Crystal. Journal of Magnetic Resonance. 135(1). 165–168. 1 indexed citations
20.
Wada, Jun, et al.. (1993). Distribution and relevance of insulin-like growth factor-I receptor in metanephric development. Kidney International. 44(6). 1242–1250. 43 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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