Sanjay Jain

2.5k total citations
65 papers, 1.6k citations indexed

About

Sanjay Jain is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Sanjay Jain has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Statistical and Nonlinear Physics and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Sanjay Jain's work include Semiconductor materials and devices (12 papers), Black Holes and Theoretical Physics (10 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). Sanjay Jain is often cited by papers focused on Semiconductor materials and devices (12 papers), Black Holes and Theoretical Physics (10 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). Sanjay Jain collaborates with scholars based in India, United States and Algeria. Sanjay Jain's co-authors include Sandeep Krishna, Neelesh Malviya, Sapna Malviya, Nivedita Deo, Chung-I Tan, Spenta R. Wadia, Areejit Samal, Vikas Nanda, Samir D. Mathur and R. Shankar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Sanjay Jain

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sanjay Jain India	21	401	362	355	332	184	65	1.6k
Ole H. Olsen Denmark	35	2.3k 5.8×	43 0.1×	25 0.1×	529 1.6×	77 0.4×	167	4.5k
Julian Lee South Korea	19	544 1.4×	107 0.3×	98 0.3×	301 0.9×	6 0.0×	73	1.7k
David M. Goldberg United States	15	154 0.4×	152 0.4×	531 1.5×	62 0.2×	36 0.2×	37	1.3k
Takashi Hara Japan	21	585 1.5×	185 0.5×	203 0.6×	162 0.5×	87 0.5×	47	2.0k
Thomas F. Walsh United States	28	212 0.5×	1.3k 3.5×	97 0.3×	28 0.1×	48 0.3×	111	2.4k
Ion C. Băianu United States	21	358 0.9×	212 0.6×	119 0.3×	60 0.2×	6 0.0×	88	1.3k
Sergei Ivanov Russia	23	175 0.4×	27 0.1×	270 0.8×	158 0.5×	5 0.0×	184	3.5k
Michael A. Lee United States	27	988 2.5×	90 0.2×	11 0.0×	111 0.3×	21 0.1×	66	3.0k
Alpan Raval United States	20	1.0k 2.6×	205 0.6×	327 0.9×	123 0.4×	5 0.0×	39	1.6k
J. R. Smith United States	21	389 1.0×	56 0.2×	648 1.8×	36 0.1×	8 0.0×	102	1.9k

Countries citing papers authored by Sanjay Jain

Since Specialization

Citations

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

Fields of papers citing papers by Sanjay Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Jain

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

All Works

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20 of 20 papers shown

Jain, Sanjay, et al.. (2023). Multistable Protocells Can Aid the Evolution of Prebiotic Autocatalytic Sets. Life. 13(12). 2327–2327. 2 indexed citations

Mahajan, Saurabh, et al.. (2018). Feedbacks from the metabolic network to the genetic network reveal regulatory modules in E. coli and B. subtilis. PLoS ONE. 13(10). e0203311–e0203311. 7 indexed citations

Jain, Sanjay, et al.. (2016). Analytic derivation of bacterial growth laws from a simple model of intracellular chemical dynamics. Theory in Biosciences. 135(3). 121–130. 21 indexed citations

Malviya, Neelesh, et al.. (2015). Estimation of total phenolic, tannins, and flavonoid contents and antioxidant activity of Cedrus deodara heart wood extracts. Egyptian Pharmaceutical Journal. 14(1). 10–10. 11 indexed citations

Jain, Sourabh, et al.. (2014). Antidiabetic Activity of <I>Cedrus deodara</I> Aqueous Extract and Its Relationship with Its Antioxidant Properties. 1(3). 187–194. 4 indexed citations

Ravichandran, Srikanth, Kanury V. S. Rao, & Sanjay Jain. (2013). Bistability in a model of early B cell receptor activation and its role in tonic signaling and system tunability. Molecular BioSystems. 9(10). 2498–2511. 3 indexed citations

Singh, Shalini, et al.. (2013). Flux-based classification of reactions reveals a functional bow-tie organization of complex metabolic networks. Physical Review E. 87(5). 6 indexed citations

Jain, Sanjay, et al.. (2012). The Origin of Large Molecules in Primordial Autocatalytic Reaction Networks. PLoS ONE. 7(1). e29546–e29546. 11 indexed citations

Raina, S. N., Sanjay Jain, Deepmala Sehgal, et al.. (2011). Diversity and relationships of multipurpose seabuckthorn (Hippophae L.) germplasm from the Indian Himalayas as assessed by AFLP and SAMPL markers. Genetic Resources and Crop Evolution. 59(6). 1033–1053. 28 indexed citations

10.

Samal, Areejit, et al.. (2005). Low degree metabolites enhance modularity in biological networks and explain essential metabolic reactions. arXiv (Cornell University). 1 indexed citations

11.

Khan, Shahid, Sanjay Jain, G. Reid, & David R. Trentham. (2004). The Fast Tumble Signal in Bacterial Chemotaxis. Biophysical Journal. 86(6). 4049–4058. 18 indexed citations

12.

Brower, Richard C., Nivedita Deo, Sanjay Jain, & Chung-I Tan. (1993). Symmetry breaking in the double-well hermitian matrix models. Nuclear Physics B. 405(1). 166–187. 18 indexed citations

13.

Jain, Sanjay & Samir D. Mathur. (1992). World-sheet geometry and baby universes in 2D quantum gravity. Physics Letters B. 286(3-4). 239–246. 50 indexed citations

14.

Jain, Sanjay, et al.. (1988). Sloped-junction LDD (SJLDD) MOSFET structures for improved hot-carrier reliability. IEEE Electron Device Letters. 9(10). 539–541. 8 indexed citations

15.

Leung, Chi Wah, et al.. (1987). Hot carrier aging in two level metal processing. 55–58. 13 indexed citations

16.

Jain, Sanjay & Walter E. Dahlke. (1986). Measurement and characterization of interface state tunneling in metal-insulator-semiconductor structures. Solid-State Electronics. 29(6). 597–606. 5 indexed citations

17.

Dahlke, Walter E. & Sanjay Jain. (1986). Relaxation of optically induced inversion layers in metal-insulator-semiconductor tunnel diodes. Journal of Applied Physics. 59(4). 1264–1271. 1 indexed citations

18.

Jain, Sanjay & Spenta R. Wadia. (1985). Large-N baryons: Collective coordinates of the topological soliton in the SU(3) chiral model. Nuclear Physics B. 258. 713–725. 55 indexed citations

19.

Jain, Sanjay, R. Shankar, & Spenta R. Wadia. (1985). Conformal invariance and string theory in compact space: Bosons. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 32(10). 2713–2721. 40 indexed citations

20.

Nanda, Vikas & Sanjay Jain. (1968). Effect of Variation of the Bimolecular Rate Constant with Chain Length on the Statistical Character of Condensation Polymers. The Journal of Chemical Physics. 49(3). 1318–1320. 32 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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