Joy Garg

916 citations
15 papers · 651 · h-index 10

Impact in

Papers in

Joy Garg

14 papers receiving 632 citations

Peers

Joy Garg
Comparison fields: 5 of 96
  • Endocrine and Autonomic Systems 72
  • Emergency Medical Services 46
  • Pulmonary and Respiratory Medicine 194
  • Pathology and Forensic Medicine 104
  • Transplantation 15
Replace Hector J. Rodriguez with:
Hector J. Rodriguez United States
Alfonso Torres United States
Theodoros Kiropoulos Greece
Jesper Graff Denmark
Mathieu C. Morissette Canada
Colin Borland United Kingdom
Christina C. Kao United States
M B Adams United States
E. Fornai Italy
Michael K. Hise United States
Joy Garg relative to Hector J. Rodriguez United States Hector J. Rodriguez's profile →
Citations per field
00.5×7.5×
Hector J. Rodriguez · 1×
Citations per year

Countries citing papers authored by Joy Garg

Since Specialization
Citations

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

Fields of papers citing papers by Joy Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1999191
2 2004150
3 2010117
4 201047
5 201041
6 202236
7 201124
8 202316
9 201111
10 20189
11 20233
12 20112
13 20072
14 20241
15 20101

About Joy Garg

Joy Garg is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine, Neurology and Epidemiology, having authored 15 papers that have together received 651 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (4 papers), Aortic aneurysm repair treatments (3 papers), Enhanced Recovery After Surgery (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Vascular Procedures and Complications (2 papers), Cardiovascular Health and Disease Prevention (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (72 citations), Emergency Medical Services (46 citations), Pulmonary and Respiratory Medicine (194 citations), Pathology and Forensic Medicine (104 citations) and Transplantation (15 citations). Joy Garg has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Karen Woo, Ralph B. Dilley, David L. Levin, Susan R. Hopkins, Divya S. Bolar, Robert J. Hye, Gregory B. Young, Eric C. Lai, Marek K. Sliwinski and Shinichiro Wachi. Their work appears in journals such as Journal of Vascular Surgery, American Journal of Respiratory and Critical Care Medicine, The Journal of Foot & Ankle Surgery, Nephrology Dialysis Transplantation and Stroke.

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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