Saravanan Rajan

666 total citations
10 papers, 276 citations indexed

About

Saravanan Rajan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Saravanan Rajan has authored 10 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Immunology. Recurrent topics in Saravanan Rajan's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (2 papers) and T-cell and B-cell Immunology (2 papers). Saravanan Rajan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (2 papers) and T-cell and B-cell Immunology (2 papers). Saravanan Rajan collaborates with scholars based in United States, Canada and France. Saravanan Rajan's co-authors include Sachdev S. Sidhu, Jesse G. Zalatan, Scott M. Coyle, Wendell A. Lim, K. Dane Wittrup, Ryan L. Kelly, James A. Van Deventer, William F. Dall’Acqua, Robert Sladek and Xiaodong Xiao and has published in prestigious journals such as Science, Methods in enzymology on CD-ROM/Methods in enzymology and The Journal of Infectious Diseases.

In The Last Decade

Saravanan Rajan

9 papers receiving 263 citations

Peers

Saravanan Rajan

MB

RNMI

IMMUN

MM

ECOLO

Sofia Côrte‐Real Portugal

Mae Joanne Rosok United States

Bharanidharan Devarajan India

Genoveva Nacheva Bulgaria

Régis Cèbe Switzerland

Matthew J. Stanger United States

Felix Emele Emele Nigeria

Oleksandr Chernyavskiy Czechia

James W. Stave United States

Preston Hunter United States

Sofia Côrte‐Real Portugal

Saravanan Rajan

126 ×0.6

MB

81 ×0.9

RNMI

30 ×0.8

IMMUN

9 ×0.3

MM

77 ×3.5

ECOLO

Citations per year, relative to Saravanan Rajan Saravanan Rajan (= 1×) peers Sofia Côrte‐Real

Countries citing papers authored by Saravanan Rajan

Since Specialization

Citations

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

Fields of papers citing papers by Saravanan Rajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saravanan Rajan

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

All Works

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10 of 10 papers shown

1.

Rajan, Saravanan, et al.. (2025). Mechanotransduction by nuclear envelope tension. Nucleus. 17(1). 2600901–2600901.

2.

Rajan, Saravanan & William F. Dall’Acqua. (2020). Emerging Strategies for Therapeutic Antibody Discovery from Human B Cells. Advances in experimental medicine and biology. 1255. 221–230. 2 indexed citations

3.

Rajan, Saravanan, Andrew A. Mercer, Andrey Tovchigrechko, et al.. (2018). Recombinant human B cell repertoires enable screening for rare, specific, and natively paired antibodies. Communications Biology. 1(1). 5–5. 28 indexed citations

4.

Dimasi, Nazzareno, Ryan Fleming, Kris F. Sachsenmeier, et al.. (2017). Guiding bispecific monovalent antibody formation through proteolysis of IgG1 single-chain. mAbs. 9(3). 438–454. 5 indexed citations

5.

Wang, Qun, Meghan E. Pennini, Mark Pelletier, et al.. (2016). Target-Agnostic Identification of Functional Monoclonal Antibodies AgainstKlebsiella pneumoniaeMultimeric MrkA Fimbrial Subunit. The Journal of Infectious Diseases. 213(11). 1800–1808. 56 indexed citations

6.

Deventer, James A. Van, Ryan L. Kelly, Saravanan Rajan, K. Dane Wittrup, & Sachdev S. Sidhu. (2015). A switchable yeast display/secretion system. Protein Engineering Design and Selection. 28(10). 317–325. 46 indexed citations

7.

Zalatan, Jesse G., Scott M. Coyle, Saravanan Rajan, Sachdev S. Sidhu, & Wendell A. Lim. (2012). Conformational Control of the Ste5 Scaffold Protein Insulates Against MAP Kinase Misactivation. Science. 337(6099). 1218–1222. 66 indexed citations

8.

Rajan, Saravanan, et al.. (2011). The living microarray: a high-throughput platform for measuring transcription dynamics in single cells. BMC Genomics. 12(1). 115–115. 13 indexed citations

9.

Rajan, Saravanan & Sachdev S. Sidhu. (2011). Simplified Synthetic Antibody Libraries. Methods in enzymology on CD-ROM/Methods in enzymology. 502. 3–23. 30 indexed citations

10.

Rajan, Saravanan, Haig Djambazian, Harry Zuzan, et al.. (2011). Analysis of early C2C12 myogenesis identifies stably and differentially expressed transcriptional regulators whose knock-down inhibits myoblast differentiation. Physiological Genomics. 44(2). 183–197. 30 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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