Laxmansa C. Katwa

2.9k citations
67 papers · 2.4k · h-index 29

Impact in

Papers in

Laxmansa C. Katwa

66 papers receiving 2.3k citations

Peers

Laxmansa C. Katwa
Comparison fields: 5 of 115
  • Equine 102
  • Cardiology and Cardiovascular Medicine 942
  • Cancer Research 202
  • Endocrinology, Diabetes and Metabolism 211
  • Physiology 322
Replace Daisuke Kamimura with:
Daisuke Kamimura Japan
Nadja Herbach Germany
Clare Bao United States
Anthony N. Corps United Kingdom
Akihiko Saito Japan
William L. Henry United States
Pascal Reboul France
Miguel Otero United States
Angela D’Ascola Italy
John A. Di Battista Canada
Laxmansa C. Katwa relative to Daisuke Kamimura Japan Daisuke Kamimura's profile →
Citations per field
00.5×5.9×
Daisuke Kamimura · 1×
Citations per year

Countries citing papers authored by Laxmansa C. Katwa

Since Specialization
Citations

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

Fields of papers citing papers by Laxmansa C. Katwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laxmansa C. Katwa. 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 Laxmansa C. Katwa. The network helps show where Laxmansa C. Katwa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997294
2 1993240
3 1996134
4 2019127
5 199796
6 200785
7 199882
8 199377
9 200774
10 199566
11 199765
12 199558
13 199555
14 199754
15 198948
16 200647
17 199547
18 200346
19 200346
20 201043

About Laxmansa C. Katwa

Laxmansa C. Katwa is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Physiology and Oncology, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (18 papers), Peptidase Inhibition and Analysis (9 papers), Nitric Oxide and Endothelin Effects (8 papers), Protease and Inhibitor Mechanisms (6 papers), Cardiovascular Disease and Adiposity (5 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers) and Signaling Pathways in Disease (4 papers). The work is most often cited by research in Equine (102 citations), Cardiology and Cardiovascular Medicine (942 citations), Cancer Research (202 citations), Endocrinology, Diabetes and Metabolism (211 citations) and Physiology (322 citations). Laxmansa C. Katwa has collaborated with scholars based in United States, India and Saudi Arabia. Frequent co-authors include Scott E. Campbell, K. T. Weber, Karl T. Weber, Eduardo Guarda, Suresh C. Tyagi, Vishnu Chintalgattu, Yao Sun, Paul R. Myers, Guoping Zhou and Robert M. Lust. Their work appears in journals such as Cardiovascular Research, Journal of Molecular and Cellular Cardiology, Frontiers in Cardiovascular Medicine, Basic Research in Cardiology and Biochemical and Biophysical Research 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.

Explore authors with similar magnitude of impact