Uday Kumar Putcha

37 papers receiving 848 citations

Peers

Uday Kumar Putcha
Comparison fields: 5 of 102
  • Biochemistry 66
  • Pathology and Forensic Medicine 143
  • Endocrinology, Diabetes and Metabolism 121
  • Biochemistry 43
  • Geriatrics and Gerontology 22
Replace Alireza Shirpoor with:
Alireza Shirpoor Iran
Yıldız Dinçer Türkiye
Valéria Helena Alves Cagnon Brazil
Mari Mori Japan
Xiaoli Ma China
Eulises Díaz‐Díaz Mexico
Jiangzheng Liu China
Hoda Derakhshanian Iran
Joo Sun Choi South Korea
Mabel Buelna‐Chontal Mexico
Uday Kumar Putcha relative to Alireza Shirpoor Iran Alireza Shirpoor's profile →
Citations per field
00.5×1.5×1.8×
Alireza Shirpoor · 1×
Citations per year

Countries citing papers authored by Uday Kumar Putcha

Since Specialization
Citations

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

Fields of papers citing papers by Uday Kumar Putcha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uday Kumar Putcha. 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 Uday Kumar Putcha. The network helps show where Uday Kumar Putcha may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011110
2 2016107
3 201662
4 201855
5 201347
6 201447
7 201542
8 201140
9 201433
10 201830
11 201427
12 201225
13 201324
14 201721
15 201720
16 201520
17 201818
18 201616
19 201115
20 201613

About Uday Kumar Putcha

Uday Kumar Putcha is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pathology and Forensic Medicine, Epidemiology and Nutrition and Dietetics, having authored 38 papers that have together received 859 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Vitamin C and Antioxidants Research (3 papers), Folate and B Vitamins Research (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Fatty Acid Research and Health (2 papers), Cancer-related Molecular Pathways (2 papers) and Garlic and Onion Studies (2 papers). The work is most often cited by research in Biochemistry (66 citations), Pathology and Forensic Medicine (143 citations), Endocrinology, Diabetes and Metabolism (121 citations), Biochemistry (43 citations) and Geriatrics and Gerontology (22 citations). Uday Kumar Putcha has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Madhusudana Kuncha, Ramakrishna Sistla, Bidya Dhar Sahu, Shampa Ghosh, S. Banerjee, Manchala Raghunath, Jitendra Kumar Sinha, Shanmugam M. Jeyakumar, Tarak Nath Khatua and Abhinav Kanwal. Their work appears in journals such as Molecular and Cellular Biochemistry, The Indian Journal of Medical Research, European Journal of Nutrition, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Diabetes & Metabolic Syndrome Clinical Research & Reviews.

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.

Explore authors with similar magnitude of impact