Sumit Rawal

1.1k citations
22 papers · 837 · h-index 12

Impact in

    • Nanoparticle-Based Drug Delivery
    • Mycotoxins in Agriculture and Food
    • Wheat and Barley Genetics and Pathology

Papers in

Sumit Rawal

21 papers receiving 795 citations

Peers

Sumit Rawal
Comparison fields: 5 of 102
  • Biomaterials 195
  • Plant Science 378
  • Animal Science and Zoology 100
  • Cancer Research 98
  • Insect Science 55
Replace Fabio Galeotti with:
Fabio Galeotti Italy
Roel F. Maas-Bakker Netherlands
Yunpeng Fan China
Hongshi Yu United States
Zhihong Liang China
Bin Dong China
Kausar Malik Pakistan
Sumit Rawal relative to Fabio Galeotti Italy Fabio Galeotti's profile →
Citations per field
00.5×3.1×
Fabio Galeotti · 1×
Citations per year

Countries citing papers authored by Sumit Rawal

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Rawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010303
2 2012127
3 201374
4 201159
5 201254
6 201038
7 201437
8 201531
9 201229
10 200920
11 200418
12 201413
13 20148
14 20197
15 20236
16 20044
17 20233
18 20232
19 20232
20 20251

About Sumit Rawal

Sumit Rawal is a scholar working on Plant Science, Oncology, Molecular Biology, Computational Theory and Mathematics and Biomaterials, having authored 22 papers that have together received 837 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (8 papers), Computational Drug Discovery Methods (4 papers), Alzheimer's disease research and treatments (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Microbial infections and disease research (2 papers), Cancer Treatment and Pharmacology (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Biomaterials (195 citations), Plant Science (378 citations), Animal Science and Zoology (100 citations), Cancer Research (98 citations) and Insect Science (55 citations). Sumit Rawal has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Roger A. Coulombe, Ji Eun Kim, William C. Zamboni, Kent M. Reed, Mark D. Walsh, Joseph M. DeSimone, J. Christopher Luft, Arlene S. Bridges, Warefta Hasan and Mary E. Napier. Their work appears in journals such as Alzheimer s & Dementia, Physica A Statistical Mechanics and its Applications, Research in Veterinary Science, PLoS ONE and Clinical Cancer Research.

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.

Explore authors with similar magnitude of impact