Niraj Modi

786 citations
16 papers · 672 · h-index 11

Impact in

    • Antibiotic Resistance in Bacteria
    • Curcumin's Biomedical Applications
    • Bacterial Genetics and Biotechnology

Papers in

    • Nanopore and Nanochannel Transport Studies 8
    • Membrane-based Ion Separation Techniques 3
    • Bacterial Genetics and Biotechnology 6

Niraj Modi

15 papers receiving 657 citations

Peers

Niraj Modi
Comparison fields: 5 of 103
  • Molecular Medicine 229
  • Genetics 122
  • Biomedical Engineering 192
  • Endocrinology 21
  • Molecular Biology 268
Replace Shengwei Yu with:
Shengwei Yu United States
Seoung‐ryoung Choi United States
Haihong Wang China
Steffen Lorenz Drees Germany
Filip Ciesielski United Kingdom
Sandip Kumar United States
Suhas H. Mangoli India
Tsung‐Shing Andrew Wang Taiwan
Lici Ariane Schurig-Briccio United States
David Novo United States
Niraj Modi relative to Shengwei Yu United States Shengwei Yu's profile →
Citations per field
00.5×2×4×5.3×
Shengwei Yu · 1×
Citations per year

Countries citing papers authored by Niraj Modi

Since Specialization
Citations

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

Fields of papers citing papers by Niraj Modi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010175
2 2015152
3 201264
4 201262
5 201540
6 201231
7 201130
8 201329
9 201428
10 201026
11 201519
12 20136
13 20205
14 20213
15 20202
16 20120

About Niraj Modi

Niraj Modi is a scholar working on Biomedical Engineering, Genetics, Electrochemistry, Molecular Biology and Rheumatology, having authored 16 papers that have together received 672 indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (8 papers), Bacterial Genetics and Biotechnology (6 papers), Ion channel regulation and function (3 papers), Membrane-based Ion Separation Techniques (3 papers), RNA and protein synthesis mechanisms (3 papers), Spondyloarthritis Studies and Treatments (2 papers), Fuel Cells and Related Materials (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Medicine (229 citations), Genetics (122 citations), Biomedical Engineering (192 citations), Endocrinology (21 citations) and Molecular Biology (268 citations). Niraj Modi has collaborated with scholars based in Germany, India and United Kingdom. Frequent co-authors include Ulrich Kleinekathöfer, Nilanjan Roy, Simranjeet Kaur, Dulal Panda, Roland Benz, Mathias Winterhalter, Robert E. W. Hancock, Kozhinjampara R. Mahendran, Jessica M. A. Blair and Attilio Vittorio Vargiu. Their work appears in journals such as Biophysical Journal, The Journal of Physical Chemistry Letters, ACS Chemical Biology, Proceedings of the National Academy of Sciences and The Journal of Physical Chemistry B.

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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