Deepak Parashara

670 citations
20 papers · 504 · h-index 9

Impact in

Papers in

Deepak Parashara

20 papers receiving 491 citations

Peers

Deepak Parashara
Comparison fields: 5 of 62
  • Endocrinology, Diabetes and Metabolism 309
  • Pharmacology 155
  • Animal Science and Zoology 85
  • Reproductive Medicine 57
  • Cardiology and Cardiovascular Medicine 112
Replace Shalendar Bhasin with:
Shalendar Bhasin United States
Sharyn Kelleher Australia
Gabriela Arata-Bellabarba Venezuela
Nick Ossei‐Gerning United Kingdom
Hugh Jones United Kingdom
Jens Ulrich Hanisch Germany
J A Thomson United Kingdom
M.J. Wheeler United Kingdom
Masamoto Torisu Japan
Parminder Singh India
Deepak Parashara relative to Shalendar Bhasin United States Shalendar Bhasin's profile →
Citations per field
00.5×4.8×
Shalendar Bhasin · 1×
Citations per year

Countries citing papers authored by Deepak Parashara

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Parashara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015218
2 201758
3 201656
4 202152
5 199544
6 199314
7 199413
8 201710
9 201710
10
Epinephrine-Induced Takotsubo Cardiomyopathy.
20168
11 20154
12 20193
13 20153
14 20153
15 20162
16 20152
17 20211
18 20161
19 20081
20 20161

About Deepak Parashara

Deepak Parashara is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Epidemiology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 504 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Cardiac Structural Anomalies and Repair (2 papers), Mechanical Circulatory Support Devices (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Ovarian function and disorders (1 paper) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (309 citations), Pharmacology (155 citations), Animal Science and Zoology (85 citations), Reproductive Medicine (57 citations) and Cardiology and Cardiovascular Medicine (112 citations). Deepak Parashara has collaborated with scholars based in United States. Frequent co-authors include Rajat S. Barua, Kamal Gupta, Olurinde Oni, Buddhadeb Dawn, Mukut Sharma, Ram Sharma, Rishi Sharma, Virginia J. Savin, Guoqing Chen and John A. Ambrose. Their work appears in journals such as American Heart Journal, Journal of the American College of Cardiology, Journal of the American Heart Association, European Heart Journal and CHEST Journal.

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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