Sujit Das

33 papers receiving 294 citations

Peers

Sujit Das
Comparison fields: 5 of 84
  • Drug Discovery 1
  • Food Science 101
  • Filtration and Separation 6
  • Insect Science 29
  • Pharmaceutical Science 13
Replace Jelena Mihailović with:
Jelena Mihailović Serbia
M. Beran Czechia
Ronald Fook Seng Lee Malaysia
Ying Zheng China
Hiroyuki Onda Japan
Maja Krstić Ristivojević Serbia
Navnath T. Hatvate India
Nan Jia China
Srikanth Kakumanu United States
Veronica Carnicelli Italy
Sujit Das relative to Jelena Mihailović Serbia Jelena Mihailović's profile →
Citations per field
00.5×3.3×
Jelena Mihailović · 1×
Citations per year

Countries citing papers authored by Sujit Das

Since Specialization
Citations

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

Fields of papers citing papers by Sujit Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202136
2 202132
3 202231
4 202226
5 201925
6 201124
7 198719
8 198615
9 202113
10
Gorham's disease with spontaneous recovery.
200913
11 202212
12 20219
13 19888
14
Comparison of Chlorella vulgaris dressing and sodium alginate dressing: an experimental study in rats.
20106
15 20106
16 20195
17 20204
18
Phyto-pharmacological review of Bacopa monnieri Linn.
20104
19 20174
20 20173

About Sujit Das

Sujit Das is a scholar working on Surgery, Molecular Biology, Ophthalmology, Food Science and Organic Chemistry, having authored 40 papers that have together received 311 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (6 papers), Ocular Surface and Contact Lens (4 papers), Ocular Diseases and Behçet’s Syndrome (4 papers), Probiotics and Fermented Foods (4 papers), Natural Antidiabetic Agents Studies (3 papers), Ocular Infections and Treatments (3 papers), Surfactants and Colloidal Systems (2 papers) and Lanthanide and Transition Metal Complexes (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Food Science (101 citations), Filtration and Separation (6 citations), Insect Science (29 citations) and Pharmaceutical Science (13 citations). Sujit Das has collaborated with scholars based in India, China and Malaysia. Frequent co-authors include Subrota Hati, Ram A. Lal, Ruchika Maurya, Amar A. Sakure, Mahendra Bishnoi, Kanthi Kiran Kondepudi, K. Ismail, Zhenbin Liu, Srichandan Padhi and Jahar Dey. Their work appears in journals such as Journal of Computational Chemistry, Food Bioscience, International Journal of Dairy Technology, Indian Journal of Pharmaceutical Education and Research and Inorganica Chimica Acta.

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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