Latha Devareddy

29 papers receiving 1.3k citations

Peers

Latha Devareddy
Comparison fields: 5 of 107
  • Biochemistry 288
  • Orthopedics and Sports Medicine 170
  • Nutrition and Dietetics 289
  • Pathology and Forensic Medicine 293
  • Endocrinology, Diabetes and Metabolism 184
Replace Toshiya Toda with:
Toshiya Toda Japan
Sachie Ikegami Japan
Hyun‐Sook Kim South Korea
Carlos Alberto Soares da Costa Brazil
Marianne O’Shea United States
Shen‐Shih Chiang Taiwan
Julie Mardon France
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Krista A. Power Canada
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Citations per field
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Citations per year

Countries citing papers authored by Latha Devareddy

Since Specialization
Citations

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

Fields of papers citing papers by Latha Devareddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011277
2 2015154
3 2005111
4 2008109
5 200585
6 200883
7 200463
8 200663
9 200754
10 201250
11 200846
12 201043
13 201138
14 201433
15 200431
16 200629
17 200626
18 201414
19 201413
20 200611

About Latha Devareddy

Latha Devareddy is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Orthopedics and Sports Medicine and Genetics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (13 papers), Bone health and osteoporosis research (5 papers), Fatty Acid Research and Health (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Estrogen and related hormone effects (3 papers), Cancer Risks and Factors (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Biochemistry (288 citations), Orthopedics and Sports Medicine (170 citations), Nutrition and Dietetics (289 citations), Pathology and Forensic Medicine (293 citations) and Endocrinology, Diabetes and Metabolism (184 citations). Latha Devareddy has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Lydia Kaume, Bahram H. Arjmandi, Luke R. Howard, Edralin A. Lucas, Carla McGill, Dania A. Khalil, Brenda J. Smith, Shirin Hooshmand, Bruce P. Daggy and Sheau C. Chai. Their work appears in journals such as Menopause The Journal of The North American Menopause Society, Journal of Functional Foods, The FASEB Journal, Calcified Tissue International and Nutrition Journal.

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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