Sandeep Garg

933 citations
58 papers · 587 · h-index 14

Impact in

Papers in

Sandeep Garg

47 papers receiving 549 citations

Peers

Sandeep Garg
Comparison fields: 5 of 97
  • Microbiology 80
  • Rehabilitation 60
  • General Dentistry 16
  • Hepatology 55
  • Otorhinolaryngology 26
Replace Eugenio Nelson Cavallari with:
Eugenio Nelson Cavallari Italy
Kees-Peter de Roos Netherlands
Mingxia Zhang China
Xinxue Liu United Kingdom
Tamar A. Smith‐Norowitz United States
Jianwei Li China
Biagio Pinchera Italy
Veena Maheshwari India
Rashmi Kumari India
Heinz‐Herbert Homann Germany
Sandeep Garg relative to Eugenio Nelson Cavallari Italy Eugenio Nelson Cavallari's profile →
Citations per field
00.5×5.3×
Eugenio Nelson Cavallari · 1×
Citations per year

Countries citing papers authored by Sandeep Garg

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of bacterial vaginosis among women in Delhi, India.
200769
2 201167
3 201258
4 198850
5
Effectiveness of syndromic approach in management of reproductive tract infections in women.
200135
6 202122
7 202121
8 201921
9 202118
10 201417
11 202015
12 200715
13 200214
14 201313
15 202110
16 20089
17 20239
18 20199
19 20218
20 20218

About Sandeep Garg

Sandeep Garg is a scholar working on Infectious Diseases, Epidemiology, Endocrinology, Diabetes and Metabolism, Neurology and Surgery, having authored 58 papers that have together received 587 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (5 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Reproductive tract infections research (3 papers), Thyroid Disorders and Treatments (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Microbiology (80 citations), Rehabilitation (60 citations), General Dentistry (16 citations), Hepatology (55 citations) and Otorhinolaryngology (26 citations). Sandeep Garg has collaborated with scholars based in India, United States and Poland. Frequent co-authors include Mongjam Meghachandra Singh, Ramneesh Garg, Rohit Chawla, Preena Bhalla, Usha Kaul Raina, Mandeep R. Mehra, Rashmi Dixit, R. Devi, Man Mohan Singh and Vishal Kamboj. Their work appears in journals such as Ultrasound in Medicine & Biology, Frontiers in Medicine, European Journal of Clinical Pharmacology, Nutrients and Planta Medica.

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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