Reshma Kuvelkar

1.7k total citations
11 papers, 243 citations indexed

About

Reshma Kuvelkar is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Reshma Kuvelkar has authored 11 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Physiology. Recurrent topics in Reshma Kuvelkar's work include Analytical Chemistry and Chromatography (2 papers), Computational Drug Discovery Methods (2 papers) and Asthma and respiratory diseases (2 papers). Reshma Kuvelkar is often cited by papers focused on Analytical Chemistry and Chromatography (2 papers), Computational Drug Discovery Methods (2 papers) and Asthma and respiratory diseases (2 papers). Reshma Kuvelkar collaborates with scholars based in United States and United Kingdom. Reshma Kuvelkar's co-authors include Robert W. Egan, Motasim Billah, M. Motasim Billah, Ping Wu, Corey Strickland, S. Shane Taremi, Ji Zhang, Matthew Kennedy, Peng Wang and Andrew W. Stamford and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Immunology and Analytical Biochemistry.

In The Last Decade

Reshma Kuvelkar

11 papers receiving 233 citations

Peers

Reshma Kuvelkar

PHYSI

IMMUN

CTM

PHARM

Sanjay Bhattarai United States

Krystal Herman United States

Zhongjie Chen China

Thea van den Bosch Netherlands

Matthew J. Miller United States

Helen Small United Kingdom

Rachel E. Heap United Kingdom

Jesse I. Mobbs Australia

Niclas Tue Hansen Denmark

Tadashi Terasaka Japan

Sanjay Bhattarai United States

Reshma Kuvelkar

148 ×1.3

93 ×1.1

PHYSI

50 ×0.8

IMMUN

41 ×0.8

CTM

18 ×0.5

PHARM

Citations per year, relative to Reshma Kuvelkar Reshma Kuvelkar (= 1×) peers Sanjay Bhattarai

Countries citing papers authored by Reshma Kuvelkar

Since Specialization

Citations

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

Fields of papers citing papers by Reshma Kuvelkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reshma Kuvelkar

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

All Works

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11 of 11 papers shown

Gathiaka, Symon, Sung‐Sau So, Xiaomei Chai, et al.. (2023). Discovery of non-boronic acid Arginase 1 inhibitors through virtual screening and biophysical methods. Bioorganic & Medicinal Chemistry Letters. 84. 129193–129193. 2 indexed citations

Wei, Zhenwei, Zhuoer Xie, Reshma Kuvelkar, et al.. (2019). High‐Throughput Bioassays using “Dip‐and‐Go” Multiplexed Electrospray Mass Spectrometry. Angewandte Chemie. 131(49). 17758–17762. 5 indexed citations

Wei, Zhenwei, Zhuoer Xie, Reshma Kuvelkar, et al.. (2019). High‐Throughput Bioassays using “Dip‐and‐Go” Multiplexed Electrospray Mass Spectrometry. Angewandte Chemie International Edition. 58(49). 17594–17598. 26 indexed citations

Caldwell, John P., Robert Mazzola, James Durkin, et al.. (2014). Discovery of potent iminoheterocycle BACE1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 24(23). 5455–5459. 15 indexed citations

Chapman, Richard W., Xiomara Fernandez, Howard Jones, et al.. (2010). Pharmacology Of SCH900182, A Potent, Selective Inhibitor Of PDE4 For Inhaled Administration. A5671–A5671. 4 indexed citations

Iserloh, Ulrich, Yusheng Wu, Jared N. Cumming, et al.. (2007). Potent pyrrolidine- and piperidine-based BACE-1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(1). 414–417. 61 indexed citations

Zhang, Ji, Reshma Kuvelkar, Ping Wu, et al.. (2004). Differential inhibitor sensitivity between human recombinant and native photoreceptor cGMP-phosphodiesterases (PDE6s). Biochemical Pharmacology. 68(5). 867–873. 12 indexed citations

Wang, Peng, Ji Zhang, Hong Bian, et al.. (2004). Induction of lysosomal and plasma membrane-bound sialidases in human T-cells via T-cell receptor. Biochemical Journal. 380(2). 425–433. 47 indexed citations

Zhang, Ji, Ping Wu, Reshma Kuvelkar, et al.. (1999). A Scintillation Proximity Assay for Human Interleukin-5 (hIL-5) High-Affinity Binding in Insect Cells Coexpressing hIL-5 Receptor α and β Subunits. Analytical Biochemistry. 268(1). 134–142. 8 indexed citations

10.

Zhang, Ji, Reshma Kuvelkar, Nicholas Murgolo, et al.. (1999). Mapping and characterization of the epitope(s) of Sch 55700, a humanized mAb, that inhibits human IL-5. International Immunology. 11(12). 1935–1944. 48 indexed citations

11.

Kuvelkar, Reshma, et al.. (1997). Evidence for multiple promoters of the human IL-5 receptor alpha subunit gene: a novel 6-base pair element determines cell-specific promoter function. The Journal of Immunology. 159(11). 5412–5421. 15 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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