Sudeshna Fisch

1.6k citations
25 papers · 919 indexed · h-index 12
Topics
Cardiovascular Function and Risk Factors (7 papers)Kruppel-like factors research (5 papers)Pulmonary Hypertension Research and Treatments (4 papers)

In The Last Decade

Sudeshna Fisch

25 papers receiving 903 citations

Peers

Sudeshna Fisch
Comparison fields: 5 of 75
  • Molecular Biology 666
  • Cardiology and Cardiovascular Medicine 189
  • Cancer Research 157
  • Genetics 129
  • Surgery 102
Replace Harleen Singh Ahuja with:
Harleen Singh Ahuja United States
Maria Paola Santini United Kingdom
Apoorva Babu United States
Э. М. Тарарак Russia
Ali Nasiri United States
John Yang United States
Yajun Feng United States
Ellen Dirkx Netherlands
Elena Chepurko United States
Erin L. Reineke United States
Sudeshna Fisch relative to Harleen Singh Ahuja United States Harleen Singh Ahuja's profile →
Citations per field
00.5×10.9×
Harleen Singh Ahuja · 1×
Citations per year

Countries citing papers authored by Sudeshna Fisch

Since Specialization
Citations

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

Fields of papers citing papers by Sudeshna Fisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudeshna Fisch

This figure shows the co-authorship network connecting the top 25 collaborators of Sudeshna Fisch. A scholar is included among the top collaborators of Sudeshna Fisch 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 Sudeshna Fisch. Sudeshna Fisch 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 7
2 10
3 2
4 10
5 9
6 32
7 1
8 4
9 4
10 13
11 181
12 16
13 2
14 26
15 78
16 184
17 1
18 171
19 73
20 1

About Sudeshna Fisch

Sudeshna Fisch is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Developmental Neuroscience, having authored 25 papers that have together received 919 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (7 papers), Kruppel-like factors research (5 papers) and Pulmonary Hypertension Research and Treatments (4 papers). The work is most often cited by research in Cancer Research (157 citations), Molecular Biology (666 citations) and Cardiology and Cardiovascular Medicine (189 citations). Sudeshna Fisch has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include Ronglih Liao, Mukesh K. Jain, Baiqiu Wang, Susan Gray, Saptarsi M. Haldar, Zhiyong Lin, Yiling Qiu, Hui‐Wen Cheng, Yanfei Yang and Kazumasa Unno. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Annals of Internal Medicine.

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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