Urmi Das

1.6k citations
15 papers · 85 · h-index 6

Impact in

Papers in

Urmi Das

15 papers receiving 84 citations

Peers

Urmi Das
Comparison fields: 5 of 34
  • Endocrinology, Diabetes and Metabolism 35
  • Reproductive Medicine 10
  • Clinical Biochemistry 8
  • Genetics 29
  • Endocrine and Autonomic Systems 5
Replace Laurence Mathivon with:
Laurence Mathivon France
Sekoiya Aritaki Japan
Marta Pradas-Juni Spain
Katharina E. Schraut United Kingdom
C. J. Weber United States
G. Mehltretter Germany
Т. В. Моругова Russia
Beata Bąk Canada
Jin Fang Chai China
Philipp Mann Germany
Urmi Das relative to Laurence Mathivon France Laurence Mathivon's profile →
Citations per field
00.5×10×
Laurence Mathivon · 1×
Citations per year

Countries citing papers authored by Urmi Das

Since Specialization
Citations

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

Fields of papers citing papers by Urmi Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201820
2 200312
3 201710
4 19979
5 20229
6 20235
7 20205
8 20194
9 20183
10 20153
11
Bone Health Index is Low at Diagnosis of Growth Hormone Deficiency, and Improves During Growth Hormone Therapy
20161
12 20161
13 20221
14 20211
15 20161

About Urmi Das

Urmi Das is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Rheumatology and Physiology, having authored 15 papers that have together received 85 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Adrenal Hormones and Disorders (4 papers), Metabolism and Genetic Disorders (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Hormonal Regulation and Hypertension (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Animal Nutrition and Physiology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (35 citations), Reproductive Medicine (10 citations), Clinical Biochemistry (8 citations), Genetics (29 citations) and Endocrine and Autonomic Systems (5 citations). Urmi Das has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Mohammed Didi, Senthil Senniappan, Joanne Blair, Leena Patel, Chandra Mohini Chaturvedi, Dinesh Giri, Neil Lawrence, Tabitha Randell, J. A. Jones and Mehul Dattani. Their work appears in journals such as European Journal of Endocrinology, Life Sciences, Pediatric Drugs, Archives of Disease in Childhood and World Journal of Oncology.

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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