Ramu Adela

36 papers receiving 978 citations

Ramu Adela's Hit Papers

GDF-15 as a Target and Biomarker for Diabetes and Cardiovascular Diseases: A Translational Prospective 2015 · 378 citations
3780+3+7Years since publication100200300

Peers

Ramu Adela
Comparison fields: 5 of 101
  • Rheumatology 288
  • Physiology 197
  • Obstetrics and Gynecology 55
  • Immunology 141
  • Endocrinology, Diabetes and Metabolism 94
Replace Antonysunil Adaikalakoteswari with:
Antonysunil Adaikalakoteswari United Kingdom
André Cap United States
Ah Siew Sim Australia
Giovanni Faccini Italy
Patrizia Guarini Italy
Hironori Nagasaka Japan
Gabriel Cao Argentina
Bogusław Czerny Poland
Wenpeng Cui China
Junnan Wu China
Ramu Adela relative to Antonysunil Adaikalakoteswari United Kingdom Antonysunil Adaikalakoteswari's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ramu Adela

Since Specialization
Citations

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

Fields of papers citing papers by Ramu Adela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ramu Adela, 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 Ramu Adela Line = papers co-authored together Ramu Adela 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
GDF-15 as a Target and Biomarker for Diabetes and Cardiovascular Diseases: A Translational Prospective
Hit paper breakdown →
2015378
2 2015102
3 201366
4 201662
5 202245
6 202238
7 201933
8 201728
9 202227
10 201625
11 202119
12 202318
13 202218
14 202318
15 202213
16 202113
17 202110
18 20228
19 20238
20 20168

About Ramu Adela

Ramu Adela is a scholar working on Pathology and Forensic Medicine, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Epidemiology and Rheumatology, having authored 38 papers that have together received 997 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Vitamin D Research Studies (4 papers), GDF15 and Related Biomarkers (4 papers), Garlic and Onion Studies (3 papers), Liver Diseases and Immunity (3 papers), Birth, Development, and Health (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Rheumatology (288 citations), Physiology (197 citations), Obstetrics and Gynecology (55 citations), Immunology (141 citations) and Endocrinology, Diabetes and Metabolism (94 citations). Ramu Adela has collaborated with scholars based in India, United States and Italy. Frequent co-authors include S. Banerjee, Roshan M. Borkar, Tarak Nath Khatua, Saidulu Mattapally, Chitta Ranjan Patra, Pankaj K. Bagul, Susheel Kumar Nethi, Ayan Kumar Barui, Gayatri Vishwakarma and Sumana Chakravarty. Their work appears in journals such as Phytotherapy Research, Frontiers in Immunology, PLoS ONE, Drug Metabolism Reviews and Environmental Pollution.

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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