T. Padma

1.0k citations
48 papers · 852 indexed · h-index 17

T. Padma

47 papers receiving 829 citations

Peers

T. Padma
Comparison fields: 5 of 91
  • Sensory Systems 62
  • Aging 21
  • Molecular Biology 459
  • Endocrinology, Diabetes and Metabolism 98
  • Genetics 160
Replace Suzumi M. Tokuoka with:
Suzumi M. Tokuoka Japan
Tiffany L. Thai United States
Birgit Heller Germany
Shunzhong Bao United States
Aviram Kogot‐Levin Israel
Celia M. Pombo Spain
Yozo Hori Japan
Kei Miyano Japan
Malay K. Raychowdhury United States
Narayani Nagarajan United States
T. Padma relative to Suzumi M. Tokuoka Japan Suzumi M. Tokuoka's profile →
Citations per field
00.5×5.6×
Suzumi M. Tokuoka · 1×
Citations per year

Countries citing papers authored by T. Padma

Since Specialization
Citations

This map shows the geographic impact of T. Padma'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 T. Padma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Padma more than expected).

Fields of papers citing papers by T. Padma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202325
3 201216
4 201111
5
Association of a CYP17 gene polymorphism with development of breast cancer in India.
201013
6 20102
7
CYP2D6*4 polymorphisms and breast cancer risk
201010
8 201014
9
Association of CYP3A5*3 and CYP3A5*6 Polymorphisms with Breast Cancer Risk
20092
10 200957
11 200945
12 200775
13 20061
14
Study of families of nonsyndromic hearing impairment segregating with mutations in Cx26 gene
20045
15 200451
16
Plasma Lipoprotein (a) levels in patients with untreated essential hypertension
200314
17 200223
18 198814
19 198716
20
Haptoglobin, transferrin and hemoglobin patterns in a Muslin isolate of Hyderabad.
19762

About T. Padma

T. Padma is a scholar working on Endocrine and Autonomic Systems, Sensory Systems, Pharmacology, Genetics and Biological Psychiatry, having authored 48 papers that have together received 852 indexed citations. Recurring topics across this work include Connexins and lens biology (11 papers), Pharmacogenetics and Drug Metabolism (5 papers), Hormonal Regulation and Hypertension (5 papers), Neuroscience of respiration and sleep (5 papers), Estrogen and related hormone effects (5 papers), Renin-Angiotensin System Studies (5 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Genetic Associations and Epidemiology (4 papers). The work is most often cited by research in Sensory Systems (62 citations), Aging (21 citations), Molecular Biology (459 citations), Endocrinology, Diabetes and Metabolism (98 citations) and Genetics (160 citations). T. Padma has collaborated with scholars based in India, United States and Italy. Frequent co-authors include N. Swapna, S. Vishnupriya, Kuntebommanahalli N. Thimmaiah, Hongchao Guo, Mary‐Ann Bjornsti, Bin Shi, Cynthia S. Lancaster, Changxian Shen, Krishne Gowda and Peter J. Houghton. Their work appears in journals such as Human Heredity, Journal of the Renin-Angiotensin-Aldosterone System, Bioorganic & Medicinal Chemistry, European Journal of Medicinal Chemistry and American Journal of Human Biology.

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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