Susmita Sil

1.5k citations
57 papers · 1.1k · h-index 22

Impact in

Papers in

Susmita Sil

55 papers receiving 1.1k citations

Peers

Susmita Sil
Comparison fields: 5 of 100
  • Biological Psychiatry 136
  • Neurology 274
  • Virology 150
  • Cancer Research 169
  • Developmental Neuroscience 31
Replace Slava Rom with:
Slava Rom United States
Nancy L. Reichenbach United States
Irena Kadiu United States
Shongshan Fan United States
Sunan Li United States
Meng-Liang Zhao United States
Livia Civitelli Italy
R. Bryan Rock United States
Meng‐Liang Zhao United States
Susmita Sil relative to Slava Rom United States Slava Rom's profile →
Citations per field
00.5×
Slava Rom · 1×
Citations per year

Countries citing papers authored by Susmita Sil

Since Specialization
Citations

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

Fields of papers citing papers by Susmita Sil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201989
2 201880
3 201565
4 201649
5 201846
6 201945
7 201844
8 202343
9 202040
10 201934
11 201934
12 202030
13 202029
14 199726
15 200426
16 201425
17 201625
18 202123
19 202223
20 202023

About Susmita Sil

Susmita Sil is a scholar working on Neurology, Molecular Biology, Virology, Physiology and Biological Psychiatry, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (24 papers), HIV Research and Treatment (15 papers), Tryptophan and brain disorders (12 papers), Alzheimer's disease research and treatments (9 papers), Extracellular vesicles in disease (8 papers), Porphyrin and Phthalocyanine Chemistry (6 papers), Photodynamic Therapy Research Studies (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Biological Psychiatry (136 citations), Neurology (274 citations), Virology (150 citations), Cancer Research (169 citations) and Developmental Neuroscience (31 citations). Susmita Sil has collaborated with scholars based in United States, India and Cameroon. Frequent co-authors include Shilpa Buch, Tusharkanti Ghosh, Palsamy Periyasamy, Ke Liao, Ernest T. Chivero, Guoku Hu, Annadurai Thangaraj, Fang Niu, Abhay Sankar Chakraborti and Eric S. Peeples. Their work appears in journals such as Journal of Neuroimmune Pharmacology, Cells, Journal of Neuroimmunology, Viruses and Journal of Molecular Neuroscience.

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