Susanta Mondal

5.8k citations
56 papers · 4.4k indexed · 1 hit paper · h-index 22
Topics
Parkinson's Disease Mechanisms and Treatments (7 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Immune Cell Function and Interaction (6 papers)

In The Last Decade

Susanta Mondal

51 papers receiving 4.4k citations

Hit Papers

Excess placental soluble fms-like tyrosine kinase 1 (sFlt...2003202620102018200310002.0k3.0k

Peers

Susanta Mondal
Comparison fields: 5 of 109
  • Obstetrics and Gynecology 2.9k
  • Pediatrics, Perinatology and Child Health 2.0k
  • Immunology 1.5k
  • Molecular Biology 844
  • Cancer Research 343
Replace Saša Frank with:
Saša Frank Austria
Pierre Hardy Canada
Ping Fan China
Petr Nachtigal Czechia
Paul Schiffers Netherlands
Vijay K. Kalra United States
Guillermo Zalba Spain
Anton J.M. Roks Netherlands
Michelle S. Johnson United States
Susanta Mondal relative to Saša Frank Austria Saša Frank's profile →
Citations per field
00.5×10×12.6×
Saša Frank · 1×
Citations per year

Countries citing papers authored by Susanta Mondal

Since Specialization
Citations

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

Fields of papers citing papers by Susanta Mondal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanta Mondal

This figure shows the co-authorship network connecting the top 25 collaborators of Susanta Mondal. A scholar is included among the top collaborators of Susanta Mondal 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 Susanta Mondal. Susanta Mondal 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 4
3 2
4 0
5 0
6 2
7 131
8 27
9 1
10 12
11 44
12 9
13 45
14 10
15 26
16 58
17 37
18 38
19 12
20
Excess placental soluble fms-like tyrosine kinase 1 (sFlt1) may contribute to endothelial dysfunction, hypertension, and proteinuria in preeclampsiabreakdown →
3135

About Susanta Mondal

Susanta Mondal is a scholar working on Immunology, Molecular Medicine and Neurology, having authored 56 papers that have together received 4.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Obstetrics and Gynecology (2.9k citations), Pediatrics, Perinatology and Child Health (2.0k citations) and Immunology (1.5k citations). Susanta Mondal has collaborated with scholars based in United States, India and Türkiye. Frequent co-authors include S. Ananth Karumanchi, Frank W. Sellke, Vikas P. Sukhatme, Isaac E. Stillman, Towia A. Libermann, James P. Morgan, Sharon E. Maynard, Jianyi Li, Franklin H. Epstein and Jaime R. Merchan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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