Parag Palit

447 citations
24 papers · 186 · h-index 9

Impact in

Papers in

Parag Palit

23 papers receiving 184 citations

Peers

Parag Palit
Comparison fields: 5 of 54
  • Endocrinology 44
  • Nutrition and Dietetics 65
  • Molecular Medicine 16
  • Infectious Diseases 55
  • Parasitology 20
Replace Alessandra Di Moura with:
Alessandra Di Moura Brazil
Hannah E Atlas United States
Ligia María Cruz Espinoza South Korea
Ila F.N. Lima Brazil
Jonathan Strysko United States
Doh Sanogo United States
John Bosco Kalule Uganda
Falguni Debnath India
Bernadette Basuta Mirembe Uganda
Parag Palit relative to Alessandra Di Moura Brazil Alessandra Di Moura's profile →
Citations per field
00.5×8.5×
Alessandra Di Moura · 1×
Citations per year

Countries citing papers authored by Parag Palit

Since Specialization
Citations

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

Fields of papers citing papers by Parag Palit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202324
2 202219
3 202316
4 202315
5 202015
6 202113
7 201810
8 20229
9 20188
10 20228
11 20226
12 20236
13 20226
14 20225
15 20225
16 20225
17 20224
18 20233
19 20213
20 20233

About Parag Palit

Parag Palit is a scholar working on Nutrition and Dietetics, Infectious Diseases, Endocrinology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 186 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (15 papers), Viral gastroenteritis research and epidemiology (10 papers), Escherichia coli research studies (5 papers), Infant Nutrition and Health (4 papers), RNA Interference and Gene Delivery (2 papers), Child Nutrition and Feeding Issues (2 papers), Research on Leishmaniasis Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Endocrinology (44 citations), Nutrition and Dietetics (65 citations), Molecular Medicine (16 citations), Infectious Diseases (55 citations) and Parasitology (20 citations). Parag Palit has collaborated with scholars based in Bangladesh, United States and Finland. Frequent co-authors include Tahmeed Ahmed, Mustafa Mahfuz, Rina Das, Md. Ahshanul Haque, Sharika Nuzhat, A. S. G. Faruque, M Munirul Islam, Robin L. Flannery, Shafiqul Alam Sarker and David J. Kyle. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Scientific Reports, Life, Tropical Medicine & International Health and PLoS ONE.

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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