H. Parmar

671 citations
18 papers · 521 indexed · h-index 11

Impact in

Papers in

H. Parmar

16 papers receiving 490 citations

Peers

H. Parmar
Comparison fields: 5 of 73
  • Reproductive Medicine 103
  • Endocrinology, Diabetes and Metabolism 154
  • Pulmonary and Respiratory Medicine 177
  • Oncology 92
  • Immunology 66
Replace Katsuya Matsuda with:
Katsuya Matsuda Japan
M F Segers Netherlands
Takuya Ayabe Japan
Burghard Abendstein Austria
Dimitrios N Melegos Canada
Yoshimasa Asada Japan
William Westra United States
Susanne Müller Germany
Taichi Mizushima Japan
Liana De Vecchis Italy
H. Parmar relative to Katsuya Matsuda Japan Katsuya Matsuda's profile →
Citations per field
00.5×4.5×
Katsuya Matsuda · 1×
Citations per year

Countries citing papers authored by H. Parmar

Since Specialization
Citations

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

Fields of papers citing papers by H. Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20250
2 201339
3 201257
4 200123
5 20018
6 199310
7 19938
8 19931
9 199223
10
[Somatostatin analogs in oncology].
19917
11 198956
12 198819
13 198846
14
Therapy of advanced ovarian cancer with D-Trp-6-LH-RH (decapeptyl) microcapsules.
198841
15 19871
16 19872
17 198753
18 1985127

About H. Parmar

H. Parmar is a scholar working on Virology, Endocrinology, Diabetes and Metabolism, Biochemistry, Hepatology and Otorhinolaryngology, having authored 18 papers that have together received 521 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Amino Acid Enzymes and Metabolism (2 papers), HIV Research and Treatment (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Reproductive Medicine (103 citations), Endocrinology, Diabetes and Metabolism (154 citations), Pulmonary and Respiratory Medicine (177 citations), Oncology (92 citations) and Immunology (66 citations). H. Parmar has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Stafford L. Lightman, Rachel Phillips, Andrew V. Schally, Laura Edwards, Laura Allen, Arthur E. Bogdén, I. W. F. Hanham, Radhika Kajekar, Fabienne Thomas and Núria Planell. Their work appears in journals such as European Journal of Cancer, Journal of Viral Hepatitis, Cancer Treatment Reviews, The Journal of Urology and Recent results in cancer 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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