Mohammad M. Sultan

1.5k citations
25 papers · 995 · h-index 12

Impact in

Papers in

Mohammad M. Sultan

23 papers receiving 983 citations

Peers

Mohammad M. Sultan
Comparison fields: 5 of 103
  • Computational Theory and Mathematics 204
  • Molecular Biology 786
  • Materials Chemistry 318
  • Spectroscopy 104
  • Atomic and Molecular Physics, and Optics 121
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Jesper Ferkinghoff‐Borg Denmark
Jose M. Borreguero United States
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Citations per year

Countries citing papers authored by Mohammad M. Sultan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad M. Sultan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad M. Sultan. 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 Mohammad M. Sultan. The network helps show where Mohammad M. Sultan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017197
2 2012181
3 2017129
4 2018107
5 2018104
6 201852
7 201643
8 201738
9 201331
10 201628
11 201420
12 202315
13 201711
14 201710
15 201710
16 20147
17 20244
18 20192
19 20162
20 20251

About Mohammad M. Sultan

Mohammad M. Sultan is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Artificial Intelligence and Spectroscopy, having authored 25 papers that have together received 995 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Mass Spectrometry Techniques and Applications (3 papers), Enzyme Structure and Function (3 papers), Computational Drug Discovery Methods (2 papers), Chemical Synthesis and Analysis (2 papers), Theoretical and Computational Physics (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Computational Theory and Mathematics (204 citations), Molecular Biology (786 citations), Materials Chemistry (318 citations), Spectroscopy (104 citations) and Atomic and Molecular Physics, and Optics (121 citations). Mohammad M. Sultan has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Vijay S. Pande, Brooke E. Husic, Carlos X. Hernández, Robert T. McGibbon, Víctor S. Batista, Ivan Rivalta, Gregory A. Manley, J. Patrick Loria, Matthew P. Harrigan and Hannah K. Wayment-Steele. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Physical Chemistry B, The Journal of Chemical Physics, Journal of Chemical Information and Modeling and Nature Communications.

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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