MK Garg

834 citations
39 papers · 585 · h-index 16

Impact in

Papers in

    • Growth Hormone and Insulin-like Growth Factors 10
    • Pituitary Gland Disorders and Treatments 6
    • Thyroid Disorders and Treatments 6
    • Diabetes, Cardiovascular Risks, and Lipoproteins 6
    • Adrenal Hormones and Disorders 4
    • Thyroid Cancer Diagnosis and Treatment 4

MK Garg

36 papers receiving 558 citations

Peers

MK Garg
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 313
  • Endocrine and Autonomic Systems 30
  • Orthopedics and Sports Medicine 32
  • Physiology 87
  • Pharmacy 16
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Citations per field
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Citations per year

Countries citing papers authored by MK Garg

Since Specialization
Citations

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

Fields of papers citing papers by MK Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200950
2 201145
3 201444
4 201140
5 201137
6 201336
7
Intramuscular ACTH stimulation test for assessment of adrenal function.
201330
8 201125
9 201123
10
Glutamic acid decarboxylase (anti-GAD) & tissue transglutaminase (anti-TTG) antibodies in patients with thyroid autoimmunity.
201322
11 201320
12 201119
13 201219
14 201418
15 201618
16 201416
17 201415
18 201612
19 201212
20 201711

About MK Garg

MK Garg is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Public Health, Environmental and Occupational Health and Physiology, having authored 39 papers that have together received 585 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Pituitary Gland Disorders and Treatments (6 papers), Thyroid Disorders and Treatments (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Adrenal Hormones and Disorders (4 papers), Obesity, Physical Activity, Diet (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Body Composition Measurement Techniques (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (313 citations), Endocrine and Autonomic Systems (30 citations), Orthopedics and Sports Medicine (32 citations), Physiology (87 citations) and Pharmacy (16 citations). MK Garg has collaborated with scholars based in India. Frequent co-authors include Namita Mahalle, R. K. Marwaha, Nikhil Tandon, Kuntal Bhadra, Amit Narang, A. V. R. Sastry, Charu C. Garg, Shamshir Khan, Sanjay Kalra and Ratnesh Kanwar. Their work appears in journals such as Clinical Biochemistry, Clinical Endocrinology, Obesity Reviews, Growth Hormone & IGF Research and Hormone and Metabolic Research.

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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