Natesh Singh

885 total citations · 1 hit paper
16 papers, 582 citations indexed

About

Natesh Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Natesh Singh has authored 16 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 3 papers in Infectious Diseases. Recurrent topics in Natesh Singh's work include Computational Drug Discovery Methods (9 papers), Amino Acid Enzymes and Metabolism (3 papers) and Protein Structure and Dynamics (3 papers). Natesh Singh is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Amino Acid Enzymes and Metabolism (3 papers) and Protein Structure and Dynamics (3 papers). Natesh Singh collaborates with scholars based in France, Austria and United States. Natesh Singh's co-authors include Bruno O. Villoutreix, Gerhard F. Ecker, Ludovic Chaput, Katya Tsaioun, Jean‐Luc Poyet, Philippe Vayer, Abdel‐Majid Khatib, Étienne Decroly, Joshiawa Paulk and André C. Müller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Natesh Singh

16 papers receiving 569 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Drug discovery and development: introduction to the general public and patient groups

2023 98 citations Natesh Singh, Philippe Vayer et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natesh Singh France	10	371	150	112	106	51	16	582
Giovanni Cianchetta United States	9	270 0.7×	113 0.8×	74 0.7×	35 0.3×	67 1.3×	10	461
Scott Martin United Kingdom	15	407 1.1×	67 0.4×	193 1.7×	21 0.2×	254 5.0×	32	955
Amanda Garrido United States	9	219 0.6×	78 0.5×	77 0.7×	14 0.1×	72 1.4×	11	524
Antonella Paladino Italy	14	412 1.1×	52 0.3×	53 0.5×	71 0.7×	48 0.9×	36	589
Kevin N. Dack United Kingdom	12	260 0.7×	48 0.3×	99 0.9×	47 0.4×	221 4.3×	22	683
Inge Thøger Christensen Denmark	15	328 0.9×	179 1.2×	89 0.8×	12 0.1×	98 1.9×	18	603
Tímea Polgár Hungary	13	377 1.0×	221 1.5×	61 0.5×	11 0.1×	44 0.9×	20	713
Lu Tan United Kingdom	14	417 1.1×	297 2.0×	68 0.6×	11 0.1×	42 0.8×	22	702
Michael Smolinski United States	10	318 0.9×	156 1.0×	122 1.1×	9 0.1×	91 1.8×	18	504
Cornelia Bellamacina United States	10	511 1.4×	153 1.0×	73 0.7×	41 0.4×	114 2.2×	13	675

Countries citing papers authored by Natesh Singh

Since Specialization

Citations

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

Fields of papers citing papers by Natesh Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natesh Singh

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

All Works

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16 of 16 papers shown

Singh, Natesh, et al.. (2023). Drug discovery and development: introduction to the general public and patient groups. SHILAP Revista de lepidopterología. 3. 98 indexed citations breakdown →

Kayyali, Usamah S., et al.. (2022). Kinase signaling as a drug target modality for regulation of vascular hyperpermeability: A case for ARDS therapy development. Drug Discovery Today. 27(5). 1448–1456. 2 indexed citations

Singh, Natesh, et al.. (2022). A toolkit for covalent docking with GOLD: from automated ligand preparation with KNIME to bound protein–ligand complexes. Bioinformatics Advances. 2(1). vbac090–vbac090. 4 indexed citations

Ahnström, Josefin, et al.. (2022). The first laminin G-like domain of protein S is essential for binding and activation of Tyro3 receptor and intracellular signalling. Biochemistry and Biophysics Reports. 30. 101263–101263. 5 indexed citations

Singh, Natesh & Bruno O. Villoutreix. (2022). A Hybrid Docking and Machine Learning Approach to Enhance the Performance of Virtual Screening Carried out on Protein–Protein Interfaces. International Journal of Molecular Sciences. 23(22). 14364–14364. 11 indexed citations

Singh, Natesh & Bruno O. Villoutreix. (2021). Resources and computational strategies to advance small molecule SARS-CoV-2 discovery: Lessons from the pandemic and preparing for future health crises. Computational and Structural Biotechnology Journal. 19. 2537–2548. 15 indexed citations

Singh, Natesh, Étienne Decroly, Abdel‐Majid Khatib, & Bruno O. Villoutreix. (2020). Structure-based drug repositioning over the human TMPRSS2 protease domain: search for chemical probes able to repress SARS-CoV-2 Spike protein cleavages. European Journal of Pharmaceutical Sciences. 153. 105495–105495. 40 indexed citations

Singh, Natesh & Bruno O. Villoutreix. (2020). Demystifying the Molecular Basis of Pyrazoloquinolinones Recognition at the Extracellular α1+/β3- Interface of the GABAA Receptor by Molecular Modeling. Frontiers in Pharmacology. 11. 561834–561834. 4 indexed citations

Chaput, Ludovic, et al.. (2020). FastTargetPred: a program enabling the fast prediction of putative protein targets for input chemical databases. Bioinformatics. 36(14). 4225–4226. 4 indexed citations

10.

Singh, Natesh, Ludovic Chaput, & Bruno O. Villoutreix. (2020). Virtual screening web servers: designing chemical probes and drug candidates in the cyberspace. Briefings in Bioinformatics. 22(2). 1790–1818. 76 indexed citations

11.

Singh, Natesh, Ludovic Chaput, & Bruno O. Villoutreix. (2020). Fast Rescoring Protocols to Improve the Performance of Structure-Based Virtual Screening Performed on Protein–Protein Interfaces. Journal of Chemical Information and Modeling. 60(8). 3910–3934. 16 indexed citations

12.

Singh, Natesh, Bruno O. Villoutreix, & Gerhard F. Ecker. (2019). Rigorous sampling of docking poses unveils binding hypothesis for the halogenated ligands of L-type Amino acid Transporter 1 (LAT1). Scientific Reports. 9(1). 15061–15061. 23 indexed citations

13.

Singh, Natesh, Mariafrancesca Scalise, Michele Galluccio, et al.. (2018). Discovery of Potent Inhibitors for the Large Neutral Amino Acid Transporter 1 (LAT1) by Structure-Based Methods. International Journal of Molecular Sciences. 20(1). 27–27. 41 indexed citations

14.

Singh, Natesh & Gerhard F. Ecker. (2018). Insights into the Structure, Function, and Ligand Discovery of the Large Neutral Amino Acid Transporter 1, LAT1. International Journal of Molecular Sciences. 19(5). 1278–1278. 109 indexed citations

15.

Ishoey, Mette, Natesh Singh, Martin G. Jaeger, et al.. (2018). Translation Termination Factor GSPT1 Is a Phenotypically Relevant Off-Target of Heterobifunctional Phthalimide Degraders. ACS Chemical Biology. 13(3). 553–560. 132 indexed citations

16.

Singh, Natesh. (2016). Molecular Modelling of Human Multidrug Resistance Protein 5 (ABCC5). 7(3). 61–73. 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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