Tushar Modi

511 citations
18 papers · 340 · h-index 7

Impact in

    • Antibiotic Resistance in Bacteria
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Microbial Metabolic Engineering and Bioproduction
    • Bioinformatics and Genomic Networks

Papers in

    • Protein Structure and Dynamics 6
    • RNA and protein synthesis mechanisms 4
    • Evolution and Genetic Dynamics 7
    • Bacterial Genetics and Biotechnology 3

Tushar Modi

18 papers receiving 338 citations

Peers

Tushar Modi
Comparison fields: 5 of 59
  • Molecular Medicine 22
  • Molecular Biology 273
  • Genetics 63
  • Spectroscopy 27
  • Endocrinology 8
Replace Paul Campitelli with:
Paul Campitelli United States
Parameswaran Hariharan United States
G.J. Correy United States
Nicole Howe Ireland
Ali A. Kermani United States
Eric J. M. Lang United Kingdom
Marialuisa Pellegrini‐Calace Italy
Conrado Pedebos United Kingdom
Dominik Toušěk Czechia
Barbara Lelj‐Garolla Canada
Tushar Modi relative to Paul Campitelli United States Paul Campitelli's profile →
Citations per field
00.5×
Paul Campitelli · 1×
Citations per year

Countries citing papers authored by Tushar Modi

Since Specialization
Citations

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

Fields of papers citing papers by Tushar Modi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Tushar 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 Tushar Modi Line = papers co-authored together Tushar Modi links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2020129
2 202149
3 201847
4 202035
5 201835
6 201613
7 20158
8 20245
9 20244
10 20244
11 20233
12 20242
13 20231
14 20231
15 20181
16 20211
17 20191
18 20221

About Tushar Modi

Tushar Modi is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Spectroscopy, having authored 18 papers that have together received 340 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Protein Structure and Dynamics (6 papers), Bacteriophages and microbial interactions (5 papers), Antibiotic Resistance in Bacteria (4 papers), RNA and protein synthesis mechanisms (4 papers), Enzyme Structure and Function (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Molecular Medicine (22 citations), Molecular Biology (273 citations), Genetics (63 citations), Spectroscopy (27 citations) and Endocrinology (8 citations). Tushar Modi has collaborated with scholars based in United States, Saudi Arabia and India. Frequent co-authors include S. Banu Ozkan, Paul Campitelli, Sudhir Kumar, Jonathan Huihui, Kingshuk Ghosh, Valeria A. Risso, Wade D. Van Horn, José M. Sánchez‐Ruiz, Sergio Martínez‐Rodríguez and Amar Singh. Their work appears in journals such as Biophysical Journal, eLife, Nature Communications, Physical review. E and Science Advances.

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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