Vipin Narang

5.9k total citations
54 papers, 1.5k citations indexed

About

Vipin Narang is a scholar working on Political Science and International Relations, Molecular Biology and Immunology. According to data from OpenAlex, Vipin Narang has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Political Science and International Relations, 14 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Vipin Narang's work include Nuclear Issues and Defense (12 papers), International Relations and Foreign Policy (10 papers) and Genomics and Chromatin Dynamics (6 papers). Vipin Narang is often cited by papers focused on Nuclear Issues and Defense (12 papers), International Relations and Foreign Policy (10 papers) and Genomics and Chromatin Dynamics (6 papers). Vipin Narang collaborates with scholars based in Singapore, United States and India. Vipin Narang's co-authors include Wing‐Kin Sung, Michael Poidinger, Rebecca M. Nelson, Gabriele Bucci, Liv Austenaa, Giuseppe Testa, Stefano Casola, Thomas Burgold, Gioacchino Natoli and Francesca De Santa and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

Vipin Narang

50 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vipin Narang Singapore	20	502	490	302	179	153	54	1.5k
Christian Giordano Switzerland	18	348 0.7×	138 0.3×	70 0.2×	98 0.5×	346 2.3×	62	1.3k
Heng Xu China	27	894 1.8×	277 0.6×	51 0.2×	27 0.2×	195 1.3×	86	1.9k
Paul R. Billings United States	29	522 1.0×	304 0.6×	16 0.1×	37 0.2×	102 0.7×	98	2.1k
Simon Franklin United Kingdom	9	1.3k 2.7×	730 1.5×	27 0.1×	38 0.2×	241 1.6×	20	1.9k
Lisa L. Smith United States	20	476 0.9×	321 0.7×	18 0.1×	54 0.3×	132 0.9×	58	1.7k
Michael McGregor United States	14	804 1.6×	89 0.2×	41 0.1×	23 0.1×	80 0.5×	24	1.1k
James R. Storey United States	17	85 0.2×	273 0.6×	28 0.1×	53 0.3×	186 1.2×	30	1.2k
David Wolff United States	20	246 0.5×	36 0.1×	61 0.2×	94 0.5×	130 0.8×	80	1.2k
Manfred Schulz Switzerland	10	260 0.5×	345 0.7×	25 0.1×	29 0.2×	115 0.8×	14	1.1k
Robert C. Fisher United States	22	428 0.9×	346 0.7×	16 0.1×	63 0.4×	59 0.4×	60	1.4k

Countries citing papers authored by Vipin Narang

Since Specialization

Citations

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

Fields of papers citing papers by Vipin Narang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vipin Narang

This figure shows the co-authorship network connecting the top 25 collaborators of Vipin Narang. A scholar is included among the top collaborators of Vipin Narang 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 Vipin Narang. Vipin Narang 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

Kared, Hassen, Vipin Narang, Aguan Wei, et al.. (2024). SLAMF7 defines subsets of human effector CD8 T cells. Scientific Reports. 14(1). 30779–30779. 2 indexed citations

Narang, Vipin. (2022). Seeking the Bomb. Princeton University Press eBooks. 1 indexed citations

Dainichi, Teruki, Yuri Nakano, Hiromi Doi, et al.. (2022). C10orf99/GPR15L Regulates Proinflammatory Response of Keratinocytes and Barrier Formation of the Skin. Frontiers in Immunology. 13. 825032–825032. 12 indexed citations

Pisu, Davide, Lu Huang, Vipin Narang, et al.. (2021). Single cell analysis of M. tuberculosis phenotype and macrophage lineages in the infected lung. The Journal of Experimental Medicine. 218(9). 109 indexed citations

Carré, Christophe, Glenn Wong, Vipin Narang, et al.. (2021). Endoplasmic reticulum stress response and bile acid signatures associate with multi-strain seroresponsiveness during elderly influenza vaccination. iScience. 24(9). 102970–102970. 5 indexed citations

Miller, Nicholas L. & Vipin Narang. (2019). The Year of Living Dangerously With Nuclear Weapons. Foreign Affairs.

Narang, Vipin, et al.. (2019). The Hanoi Summit Was Doomed From the Start. Foreign Affairs. 1 indexed citations

Narang, Vipin, et al.. (2018). North Korea’s Nuclear Program Isn’t Going Anywhere. Foreign Affairs.

Narang, Vipin, et al.. (2018). Correspondence: India's Pursuit of the Bomb and Strategies of Nuclear Proliferation. International Security. 43(1). 177–180.

10.

Narang, Vipin, Yanxia Lu, Xavier Camous, et al.. (2018). Influenza Vaccine-Induced Antibody Responses Are Not Impaired by Frailty in the Community-Dwelling Elderly With Natural Influenza Exposure. Frontiers in Immunology. 9. 2465–2465. 30 indexed citations

11.

Camous, Xavier, Lucian Visan, Bernd Abel, et al.. (2018). Healthy elderly Singaporeans show no age-related humoral hyporesponsiveness nor diminished plasmablast generation in response to influenza vaccine. Immunity & Ageing. 15(1). 28–28. 7 indexed citations

12.

Narang, Vipin. (2014). Nuclear Strategy in the Modern Era. Princeton University Press eBooks. 45 indexed citations

13.

Narang, Vipin. (2014). Nuclear Strategy in the Modern Era. Princeton University Press eBooks. 5 indexed citations

14.

Acerbi, Enzo, Teresa Zelante, Vipin Narang, & Fabio Stella. (2014). Gene network inference using continuous time Bayesian networks: a comparative study and application to Th17 cell differentiation. BMC Bioinformatics. 15(1). 387–387. 19 indexed citations

15.

Narang, Vipin, et al.. (2012). Systems immunology: a survey of modeling formalisms, applications and simulation tools. Immunologic Research. 53(1-3). 251–265. 29 indexed citations

16.

Chowdhary, Rajesh, Sin Lam Tan, Giulio Pavesi, et al.. (2012). A Database of Annotated Promoters of Genes Associated with Common Respiratory and Related Diseases. American Journal of Respiratory Cell and Molecular Biology. 47(1). 112–119. 9 indexed citations

17.

Perna, Daniele, Giovanni Fagà, Alessandro Verrecchia, et al.. (2011). Genome-wide mapping of Myc binding and gene regulation in serum-stimulated fibroblasts. Oncogene. 31(13). 1695–1709. 82 indexed citations

18.

Santa, Francesca De, Vipin Narang, Betsabeh Khoramian Tusi, et al.. (2009). Jmjd3 contributes to the control of gene expression in LPS-activated macrophages. The EMBO Journal. 28(21). 3341–3352. 342 indexed citations

19.

Gupta, Rajender, Amit Mittal, Khushboo Singh, Vipin Narang, & Sudipta Roy. (2009). Time-series approach to protein classification problem. IEEE Engineering in Medicine and Biology Magazine. 28(4). 32–37. 1 indexed citations

20.

Narang, Vipin, Wing‐Kin Sung, & Ankush Mittal. (2005). Computational modeling of oligonucleotide positional densities for human promoter prediction. Artificial Intelligence in Medicine. 35(1-2). 107–119. 20 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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