Sangita Pal

3.9k citations
58 papers · 2.1k indexed · 1 hit paper · h-index 22
Topics
Vibrio bacteria research studies (17 papers)Escherichia coli research studies (12 papers)Salmonella and Campylobacter epidemiology (12 papers)
Partner nations
IndiaUnited StatesJapan

In The Last Decade

Sangita Pal

52 papers receiving 2.0k citations

Hit Papers

Epigenetics and aging20162026201920222016100200300400500

Peers

Sangita Pal
Comparison fields: 5 of 128
  • Molecular Biology 1.1k
  • Endocrinology 428
  • Immunology 359
  • Food Science 257
  • Infectious Diseases 236
Replace Lee Murphy with:
Lee Murphy United Kingdom
Ellen Kraig United States
Xinna Li United States
Verónica Sánchez United States
Isabelle Raymond‐Letron France
Christine Laurent‐Winter France
Karin de Punder Germany
Theofilos Poutahidis Greece
Kazushi Suzuki Japan
Moran Yassour Israel
Sangita Pal relative to Lee Murphy United Kingdom Lee Murphy's profile →
Citations per field
00.5×4.8×
Lee Murphy · 1×
Citations per year

Countries citing papers authored by Sangita Pal

Since Specialization
Citations

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

Fields of papers citing papers by Sangita Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangita Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Sangita Pal. A scholar is included among the top collaborators of Sangita Pal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sangita Pal. Sangita Pal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 10
4 31
5 37
6 12
7 50
8 219
9
Pulmonary Function Studies of Healthy Non-smoking Male University Students of Kolkata, India - Revisited.
11
10 57
11
Morphological study of Cryptosporidium oocysts in diarrhoeic calves
1
12 25
13 13
14 20
15 8
16 4
17 47
18 5
19
Serogroups of Aeromonas species from clinical and environmental sources in Calcutta, India.
22
20 8

About Sangita Pal

Sangita Pal is a scholar working on Endocrinology, Aging and Parasitology, having authored 58 papers that have together received 2.1k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (17 papers), Escherichia coli research studies (12 papers) and Salmonella and Campylobacter epidemiology (12 papers). The work is most often cited by research in Aging (186 citations), Endocrinology (428 citations) and Immunology (359 citations). Sangita Pal has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Jessica K. Tyler, Sujit Bhattacharya, Myrriah Chavez-Tomar, Thandavarayan Ramamurthy, Youhei Takeda, Chih‐Cheng Chen, Germán Rosas-Acosta, Wei Li, Zheng Hu and Ja-Hwan Seol. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Genetics.

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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