Farida Sarangi

3.8k citations
31 papers · 3.0k indexed · 1 hit paper · h-index 23
Topics
Pancreatic function and diabetes (9 papers)Pluripotent Stem Cells Research (7 papers)Drug Transport and Resistance Mechanisms (6 papers)

In The Last Decade

Farida Sarangi

31 papers receiving 2.9k citations

Hit Papers

Homology between P-glycoprotein and a bacterial haemolysi...19862026199920121986100200300400500

Peers

Farida Sarangi
Comparison fields: 5 of 89
  • Molecular Biology 1.6k
  • Surgery 1.0k
  • Oncology 897
  • Epidemiology 590
  • Genetics 576
Replace Nobuo Tsuchida with:
Nobuo Tsuchida Japan
S Jothy Canada
Liang‐Guo Xu China
K. T. Brunner Switzerland
Lee F. Peng United States
Atsushi Kumatori Japan
Leif Lindholm Sweden
Siquan Sun United States
Kim Burns Switzerland
J. Content Belgium
Farida Sarangi relative to Nobuo Tsuchida Japan Nobuo Tsuchida's profile →
Citations per field
00.5×4.4×
Nobuo Tsuchida · 1×
Citations per year

Countries citing papers authored by Farida Sarangi

Since Specialization
Citations

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

Fields of papers citing papers by Farida Sarangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farida Sarangi

This figure shows the co-authorship network connecting the top 25 collaborators of Farida Sarangi. A scholar is included among the top collaborators of Farida Sarangi 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 Farida Sarangi. Farida Sarangi 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 1
2 30
3 69
4 103
5 221
6 16
7 103
8 106
9 50
10 2
11 157
12 142
13 47
14 167
15 39
16 20
17 72
18 14
19
Homology between P-glycoprotein and a bacterial haemolysin transport protein suggests a model for multidrug resistancebreakdown →
581
20 66

About Farida Sarangi

Farida Sarangi is a scholar working on Infectious Diseases, Hepatology and Cell Biology, having authored 31 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Pluripotent Stem Cells Research (7 papers) and Drug Transport and Resistance Mechanisms (6 papers). The work is most often cited by research in Oncology (897 citations), Molecular Biology (1.6k citations) and Surgery (1.0k citations). Farida Sarangi has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Victor Ling, Jane Endicott, Graham Henderson, Christopher D. Richardson, James H. Gerlach, Peter F. Juranka, Kathryn L. Deuchars, M. Cristina Nostro, Eric C. Hsu and Caterina Iorio. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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