Deepak Nand

838 citations
20 papers · 690 · h-index 12

Impact in

    • Advanced NMR Techniques and Applications
  • Biophysics top 5%
    • Electron Spin Resonance Studies

Papers in

    • Solid-state spectroscopy and crystallography 5
    • Nanoparticles: synthesis and applications 2
    • Advanced NMR Techniques and Applications 10

Deepak Nand

20 papers receiving 689 citations

Peers

Deepak Nand
Comparison fields: 5 of 83
  • Spectroscopy 323
  • Biophysics 89
  • Materials Chemistry 268
  • Cellular and Molecular Neuroscience 99
  • Molecular Biology 288
Replace Kaustubh R. Mote with:
Kaustubh R. Mote India
Rıza Dervişoğlu Germany
T. H. Huang United States
David D. Laws United States
Cynthia J. Hartzell United States
Mary E. Hatcher United States
Eugenio Vitrano Italy
Hisako Urabe Japan
Elwin A. W. van der Cruijsen Netherlands
Aoife C. Fogarty France
Deepak Nand relative to Kaustubh R. Mote India Kaustubh R. Mote's profile →
Citations per field
00.5×3.2×
Kaustubh R. Mote · 1×
Citations per year

Countries citing papers authored by Deepak Nand

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Nand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2012155
2 201182
3 201166
4 201366
5 200866
6 201346
7 201337
8 201333
9 201232
10 201231
11 201124
12 201213
13 20179
14 20148
15 20127
16 20136
17 20216
18 20241
19 20171
20 20211

About Deepak Nand

Deepak Nand is a scholar working on Materials Chemistry, Spectroscopy, Molecular Biology, Mechanics of Materials and Biomedical Engineering, having authored 20 papers that have together received 690 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (10 papers), Solid-state spectroscopy and crystallography (5 papers), Muon and positron interactions and applications (3 papers), Protein Structure and Dynamics (2 papers), Ion channel regulation and function (2 papers), Nanoparticles: synthesis and applications (2 papers), RNA Interference and Gene Delivery (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Spectroscopy (323 citations), Biophysics (89 citations), Materials Chemistry (268 citations), Cellular and Molecular Neuroscience (99 citations) and Molecular Biology (288 citations). Deepak Nand has collaborated with scholars based in Netherlands, Germany and India. Frequent co-authors include Marc Baldus, Eline J. Koers, Markus Weingarth, Jan Tommassen, Shane Pawsey, Mélanie Rosay, Martine P. Bos, Werner Maas, Marie Renault and Alexandre M. J. J. Bonvin. Their work appears in journals such as Journal of Biomolecular NMR, Angewandte Chemie International Edition, Journal of the American Chemical Society, The Journal of Physical Chemistry C and Journal of Biological Chemistry.

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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