Vangipuram S. Rangan

2.0k total citations
38 papers, 1.2k citations indexed

About

Vangipuram S. Rangan is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vangipuram S. Rangan has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Oncology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vangipuram S. Rangan's work include Monoclonal and Polyclonal Antibodies Research (13 papers), HER2/EGFR in Cancer Research (12 papers) and RNA and protein synthesis mechanisms (8 papers). Vangipuram S. Rangan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), HER2/EGFR in Cancer Research (12 papers) and RNA and protein synthesis mechanisms (8 papers). Vangipuram S. Rangan collaborates with scholars based in United States, Germany and Sweden. Vangipuram S. Rangan's co-authors include Sean C. Smith, Anil K. Joshi, Shrikant Deshpande, Andrzej Witkowski, Babak Oskouian, Zafar I. Randhawa, Christopher M. Amy, Alan J. Korman, M. S. Srinivasan and David Passmore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Vangipuram S. Rangan

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vangipuram S. Rangan United States	20	716	368	295	237	189	38	1.2k
Christiane Landgraf Germany	22	1.3k 1.8×	381 1.0×	351 1.2×	172 0.7×	53 0.3×	29	1.7k
Franklin J. Moy United States	22	750 1.0×	311 0.8×	105 0.4×	93 0.4×	67 0.4×	30	1.1k
Douglas A. Jeffery United States	12	784 1.1×	244 0.7×	144 0.5×	101 0.4×	58 0.3×	15	1.3k
Pamela Austin Canada	13	560 0.8×	165 0.4×	160 0.5×	93 0.4×	82 0.4×	20	963
P. Grudnik Poland	17	806 1.1×	1.0k 2.8×	646 2.2×	230 1.0×	28 0.1×	36	1.9k
Norvin D. Fernandes United States	14	1.3k 1.7×	458 1.2×	176 0.6×	74 0.3×	77 0.4×	16	1.7k
E. Salah United Kingdom	19	1.0k 1.4×	239 0.6×	81 0.3×	54 0.2×	37 0.2×	47	1.4k
Lynn C. Yeoman United States	26	1.6k 2.3×	400 1.1×	127 0.4×	115 0.5×	24 0.1×	67	2.1k
Micah Steffek United States	16	459 0.6×	101 0.3×	363 1.2×	142 0.6×	64 0.3×	20	991
Gary S. Coombs United States	21	839 1.2×	208 0.6×	76 0.3×	90 0.4×	47 0.2×	27	1.3k

Countries citing papers authored by Vangipuram S. Rangan

Since Specialization

Citations

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

Fields of papers citing papers by Vangipuram S. Rangan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vangipuram S. Rangan. 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 Vangipuram S. Rangan. The network helps show where Vangipuram S. Rangan may publish in the future.

Co-authorship network of co-authors of Vangipuram S. Rangan

This figure shows the co-authorship network connecting the top 25 collaborators of Vangipuram S. Rangan. A scholar is included among the top collaborators of Vangipuram S. Rangan 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 Vangipuram S. Rangan. Vangipuram S. Rangan 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

Yamazoe, Sayumi, Qinqin Cheng, Srikanth Kotapati, et al.. (2025). The Impact of Conjugation Mode and Site on Tubulysin Antibody‐Drug‐Conjugate Efficacy and Stability. ChemistryOpen. 14(8). e202400522–e202400522. 1 indexed citations

Ravichandran, Kanchana, Kung Wong Lau, J. Millet, et al.. (2025). Abstract 3127: An mRNA-encoded masked IL-12 improves systemic tolerability while maintaining anti-tumor efficacy in preclinical studies. Cancer Research. 85(8_Supplement_1). 3127–3127. 1 indexed citations

Huang, Richard Y.‐C., Yun Wang, Christine Bee, et al.. (2021). Higher-Order Structure Characterization of NKG2A/CD94 Protein Complex and Anti-NKG2A Antibody Binding Epitopes by Mass Spectrometry-Based Protein Footprinting Strategies. Journal of the American Society for Mass Spectrometry. 32(7). 1567–1574. 10 indexed citations

Huang, Richard Y.‐C., Michelle Kuhne, Shrikant Deshpande, et al.. (2020). Mapping binding epitopes of monoclonal antibodies targeting major histocompatibility complex class I chain-related A (MICA) with hydrogen/deuterium exchange and electron-transfer dissociation mass spectrometry. Analytical and Bioanalytical Chemistry. 412(7). 1693–1700. 12 indexed citations

Shen, Joel, Jing Cao, Vangipuram S. Rangan, et al.. (2020). CX-2043, an EpCAM-targeting probody drug conjugate, demonstrates anti-tumor activity with a favorable safety profile in preclinical models. European Journal of Cancer. 138. S15–S15. 4 indexed citations

Kotapati, Srikanth, David Passmore, Sayumi Yamazoe, et al.. (2019). Universal Affinity Capture Liquid Chromatography-Mass Spectrometry Assay for Evaluation of Biotransformation of Site-Specific Antibody Drug Conjugates in Preclinical Studies. Analytical Chemistry. 92(2). 2065–2073. 30 indexed citations

Poudel, Yam B., Chetana Rao, Srikanth Kotapati, et al.. (2019). Design, synthesis and biological evaluation of phenol-linked uncialamycin antibody-drug conjugates. Bioorganic & Medicinal Chemistry Letters. 30(1). 126782–126782. 26 indexed citations

Ponath, Paul, Daniel L. Menezes, Chin Pan, et al.. (2018). A Novel, Fully Human Anti–fucosyl-GM1 Antibody Demonstrates Potent In Vitro and In Vivo Antitumor Activity in Preclinical Models of Small Cell Lung Cancer. Clinical Cancer Research. 24(20). 5178–5189. 39 indexed citations

Chowdari, Naidu S., Chin Pan, Chetana Rao, et al.. (2018). Uncialamycin as a novel payload for antibody drug conjugate (ADC) based targeted cancer therapy. Bioorganic & Medicinal Chemistry Letters. 29(3). 466–470. 25 indexed citations

10.

Ramagopal, U.A., Weifeng Liu, Sarah C. Garrett-Thomson, et al.. (2017). Structural basis for cancer immunotherapy by the first-in-class checkpoint inhibitor ipilimumab. Proceedings of the National Academy of Sciences. 114(21). E4223–E4232. 133 indexed citations

11.

Rangan, Vangipuram S., et al.. (2015). Biotransformation and Stability of Antibody–Drug Conjugates: Payload Metabolism and Linker Cleavage Delineation. Bioanalysis. 7(11). 1319–1323. 8 indexed citations

12.

Liu, Ang, Alexander Kozhich, David Passmore, et al.. (2015). Quantitative bioanalysis of antibody-conjugated payload in monkey plasma using a hybrid immuno-capture LC–MS/MS approach: Assay development, validation, and a case study. Journal of Chromatography B. 1002. 54–62. 49 indexed citations

13.

Joshi, Anil K., et al.. (2003). Cloning, Expression, and Characterization of a Human 4′-Phosphopantetheinyl Transferase with Broad Substrate Specificity. Journal of Biological Chemistry. 278(35). 33142–33149. 76 indexed citations

14.

Rangan, Vangipuram S., Anil K. Joshi, & Sean C. Smith. (2001). Mapping the Functional Topology of the Animal Fatty Acid Synthase by Mutant Complementation in Vitro. Biochemistry. 40(36). 10792–10799. 54 indexed citations

15.

Cohen, George B., Vangipuram S. Rangan, Benjamin K. Chen, Sean C. Smith, & David Baltimore. (2000). The Human Thioesterase II Protein Binds to a Site on HIV-1 Nef Critical for CD4 Down-regulation. Journal of Biological Chemistry. 275(30). 23097–23105. 63 indexed citations

16.

Witkowski, Andrzej, Anil K. Joshi, Vangipuram S. Rangan, et al.. (1999). Dibromopropanone Cross-linking of the Phosphopantetheine and Active-site Cysteine Thiols of the Animal Fatty Acid Synthase Can Occur Both Inter- and Intrasubunit. Journal of Biological Chemistry. 274(17). 11557–11563. 34 indexed citations

17.

Rangan, Vangipuram S., Anil K. Joshi, & Sean C. Smith. (1998). Fatty Acid Synthase Dimers Containing Catalytically Active β-Ketoacyl Synthase or Malonyl/Acetyltransferase Domains in Only One Subunit Can Support Fatty Acid Synthesis at the Acyl Carrier Protein Domains of Both Subunits. Journal of Biological Chemistry. 273(52). 34949–34953. 16 indexed citations

18.

Rangan, Vangipuram S. & Sean C. Smith. (1997). Alteration of the Substrate Specificity of the Malonyl-CoA/Acetyl-CoA:Acyl Carrier ProteinS-Acyltransferase Domain of the Multifunctional Fatty Acid Synthase by Mutation of a Single Arginine Residue. Journal of Biological Chemistry. 272(18). 11975–11978. 50 indexed citations

19.

Rangan, Vangipuram S. & Sean C. Smith. (1996). Expression in Escherichia coli and Refolding of the Malonyl-/Acetyltransferase Domain of the Multifunctional Animal Fatty Acid Synthase. Journal of Biological Chemistry. 271(49). 31749–31755. 28 indexed citations

20.

Rangan, Vangipuram S., Babak Oskouian, & Sean C. Smith. (1996). Identification of an Inverted CCAAT Box Motif in the Fatty-acid Synthase Gene as an Essential Element for Mediation of Transcriptional Regulation by cAMP. Journal of Biological Chemistry. 271(4). 2307–2312. 61 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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