Raman Parkesh

3.0k citations
50 papers · 2.5k · h-index 26

Impact in

Papers in

    • RNA Research and Splicing 5
    • Advanced biosensing and bioanalysis techniques 5
    • Molecular Sensors and Ion Detection 12

Raman Parkesh

48 papers receiving 2.5k citations

Peers

Raman Parkesh
Comparison fields: 5 of 120
  • Physiology 435
  • Bioengineering 313
  • Spectroscopy 897
  • Sensory Systems 219
  • Electrochemistry 210
Replace Y. George Zheng with:
Y. George Zheng United States
Yutaka Shindo Japan
Akiyo Yamauchi Japan
Hyun‐Woo Rhee South Korea
Miae Won South Korea
Jie Geng China
Lei Xu China
Haiyan Wang China
Mark J. S. Kelly United States
Raman Parkesh relative to Y. George Zheng United States Y. George Zheng's profile →
Citations per field
00.5×10×12.9×
Y. George Zheng · 1×
Citations per year

Countries citing papers authored by Raman Parkesh

Since Specialization
Citations

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

Fields of papers citing papers by Raman Parkesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Raman Parkesh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raman Parkesh Line = papers co-authored together Raman Parkesh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009245
2 2003217
3 2006195
4 2003161
5 2003156
6 2003123
7 2012122
8 2022111
9 2004110
10 200786
11 202271
12 201265
13 200761
14 201057
15 201455
16 201250
17 200847
18 201142
19 201539
20 201836

About Raman Parkesh

Raman Parkesh is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Physiology and Bioengineering, having authored 50 papers that have together received 2.5k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (12 papers), Calcium signaling and nucleotide metabolism (9 papers), Analytical Chemistry and Sensors (7 papers), Computational Drug Discovery Methods (6 papers), Luminescence and Fluorescent Materials (6 papers), RNA Research and Splicing (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Physiology (435 citations), Bioengineering (313 citations), Spectroscopy (897 citations), Sensory Systems (219 citations) and Electrochemistry (210 citations). Raman Parkesh has collaborated with scholars based in India, Ireland and United States. Frequent co-authors include Thorfinnur Gunnlaugsson, T. Clive Lee, Grant C. Churchill, Matthew D. Disney, Paul E. Kruger, Gillian M. Hussey, Frederick M. Pfeffer, Kamal K. Kapoor, Jessica L. Childs‐Disney and Sridhar R. Vasudevan. Their work appears in journals such as Journal of Biological Chemistry, Organic & Biomolecular Chemistry, ACS Omega, Tetrahedron Letters and Database.

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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