Prakriti Gaba

2.0k citations
39 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
Lipoproteins and Cardiovascular Health (7 papers)Cardiac electrophysiology and arrhythmias (7 papers)Cardiac Arrhythmias and Treatments (7 papers)

In The Last Decade

Prakriti Gaba

38 papers receiving 1.1k citations

Hit Papers

Variation in COVID-19 Hospitalizations and Deaths Across ...20202026202220242020100200300400

Peers

Prakriti Gaba
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 407
  • Surgery 297
  • Oncology 174
  • Infectious Diseases 147
  • Radiology, Nuclear Medicine and Imaging 128
Replace Sergio García‐Blas with:
Sergio García‐Blas Spain
Fábio Costa Italy
Romualdo Del Buono Italy
Alessandro Strumia Italy
Ankeet S. Bhatt United States
Yangbo Xing China
Lucia C. Petito United States
Buyun Xu China
Chiara Piliego Italy
Mark G. O’Doherty United Kingdom
Prakriti Gaba relative to Sergio García‐Blas Spain Sergio García‐Blas's profile →
Citations per field
00.5×1.5×
Sergio García‐Blas · 1×
Citations per year

Countries citing papers authored by Prakriti Gaba

Since Specialization
Citations

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

Fields of papers citing papers by Prakriti Gaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prakriti Gaba

This figure shows the co-authorship network connecting the top 25 collaborators of Prakriti Gaba. A scholar is included among the top collaborators of Prakriti Gaba 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 Prakriti Gaba. Prakriti Gaba 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 1
3 10
4 18
5 1
6 78
7 23
8 3
9 81
10 30
11 8
12 1
13 3
14 6
15 30
16 1
17 4
18 51
19 30
20 6

About Prakriti Gaba

Prakriti Gaba is a scholar working on Cardiology and Cardiovascular Medicine, Medical Laboratory Technology and Surgery, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Cardiac Arrhythmias and Treatments (7 papers). The work is most often cited by research in Modeling and Simulation (110 citations), Cardiology and Cardiovascular Medicine (407 citations) and Health (91 citations). Prakriti Gaba has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Robert W. Yeh, Rishi K. Wadhera, Karen E. Joynt Maddox, Changyu Shen, José F. Figueroa, Gregg W. Stone, Bernard J. Gersh, Samuel J. Asirvatham, Deepak L. Bhatt and Christopher V. DeSimone. Their work appears in journals such as JAMA, Circulation and Journal of the American College of Cardiology.

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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