Indu Parikh

4.9k citations
57 papers · 4.1k indexed · 2 hit papers · h-index 27

Indu Parikh

57 papers receiving 3.6k citations

Hit Papers

A simplified method for cyanogen bromide activation of ag...1.8k197220261990200850010001.5k

Peers

Indu Parikh
Comparison fields: 5 of 129
  • Molecular Biology 2.4k
  • Immunology and Allergy 174
  • Radiology, Nuclear Medicine and Imaging 622
  • Immunology 559
  • Cell Biology 404
Replace Young S. Kim with:
Young S. Kim United States
J. Richard Sportsman United States
Francis J. Morgan Australia
Susumu Tsunasawa Japan
A Zweibaum France
Knut Sletten Norway
James E. Strickler United States
R. Reid Townsend United States
S. Cervera March United States
Masao Iwamori Japan
Indu Parikh relative to Young S. Kim United States Young S. Kim's profile →
Citations per field
00.5×1.5×
Young S. Kim · 1×
Citations per year

Countries citing papers authored by Indu Parikh

Since Specialization
Citations

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

Fields of papers citing papers by Indu Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Indu Parikh, 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 Indu Parikh Line = papers co-authored together Indu Parikh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201817
2 201617
3 20112
4 201026
5 200823
6 200642
7
Novel injectable formulations of insoluble drugs
199950
8 199341
9 199269
10 199143
11 199021
12 199047
13 198734
14 198561
15 19824
16 19782
17 19744
18 19748
19 197310
20 19705

About Indu Parikh

Indu Parikh is a scholar working on Immunology and Allergy, Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 57 papers that have together received 4.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Estrogen and related hormone effects (8 papers), Glycosylation and Glycoproteins Research (7 papers), Protein purification and stability (7 papers), Enzyme function and inhibition (6 papers), Analytical Chemistry and Chromatography (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Immunology and Allergy (174 citations), Radiology, Nuclear Medicine and Imaging (622 citations), Immunology (559 citations) and Cell Biology (404 citations). Indu Parikh has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Pedro Cuatrecasas, S. Cervera March, Vincenzo Sica, Bruno Moncharmont, Madhabananda Sar, Jui‐Lan Su, Giovanni Alfredo Puca, Morley D. Hollenberg, Ernesto Nola and W.L. Anderson. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology, Biochemical and Biophysical Research Communications and American Journal of Respiratory Cell and Molecular Biology.

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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