Parasar Pal

975 citations
34 papers · 731 · h-index 15

Impact in

Papers in

Parasar Pal

32 papers receiving 719 citations

Peers

Parasar Pal
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 411
  • Endocrinology, Diabetes and Metabolism 118
  • Family Practice 8
  • Pulmonary and Respiratory Medicine 128
  • Analytical Chemistry 38
Replace Francesco Fıcı with:
Francesco Fıcı Italy
George Klinger United States
David R. Rutledge United States
L Corea Italy
M. J. Vandenburg United Kingdom
J Rosenthal Germany
Pierre Sabouret France
Magnus Edner Sweden
Csaba András Dézsi Hungary
Lata Kler United Kingdom
Parasar Pal relative to Francesco Fıcı Italy Francesco Fıcı's profile →
Citations per field
00.5×4.8×
Francesco Fıcı · 1×
Citations per year

Countries citing papers authored by Parasar Pal

Since Specialization
Citations

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

Fields of papers citing papers by Parasar Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016104
2 201690
3 201583
4 201666
5 201753
6 202435
7 201732
8 201627
9 201823
10 201622
11 201521
12 201519
13 201618
14 201617
15 201316
16 201514
17 201813
18 201611
19 20179
20 20168

About Parasar Pal

Parasar Pal is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Pharmacology and Surgery, having authored 34 papers that have together received 731 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (14 papers), Pharmacogenetics and Drug Metabolism (5 papers), Receptor Mechanisms and Signaling (4 papers), Potassium and Related Disorders (3 papers), Blood Pressure and Hypertension Studies (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (411 citations), Endocrinology, Diabetes and Metabolism (118 citations), Family Practice (8 citations), Pulmonary and Respiratory Medicine (128 citations) and Analytical Chemistry (38 citations). Parasar Pal has collaborated with scholars based in Switzerland, India and United States. Frequent co-authors include Thomas Langenickel, Surya Ayalasomayajula, Gangadhar Sunkara, Iris Rajman, Markus Hinder, Diego Albrecht, Margaret F. Prescott, Fan Yang, Wei Zhou and Pierre J. Jordaan. Their work appears in journals such as Hypertension, Clinical Pharmacokinetics, European Journal of Clinical Pharmacology, British Journal of Clinical Pharmacology and Clinical Pharmacology & Therapeutics.

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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