Ramu Adela

34 papers receiving 927 citations

Ramu Adela's Hit Papers

GDF-15 as a Target and Biomarker for Diabetes and Cardiovascular Diseases: A Translational Prospective 2015 · 369 citations
3690+3+7Years since publication100200300

Peers

Ramu Adela
Comparison fields: 5 of 105
  • Rheumatology 307
  • Physiology 297
  • Immunology 196
  • Obstetrics and Gynecology 71
  • Geriatrics and Gerontology 23
Replace Antonysunil Adaikalakoteswari with:
Antonysunil Adaikalakoteswari United Kingdom
André Cap United States
Wenpeng Cui China
Giovanni Faccini Italy
Xiongzhong Ruan China
Derek Lang United Kingdom
Ah Siew Sim Australia
Stacey Ruiz United States
Hironori Nagasaka Japan
Mahdi Garelnabi United States
Ramu Adela relative to Antonysunil Adaikalakoteswari United Kingdom Antonysunil Adaikalakoteswari's profile →
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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 35 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 →
2015369
2 201596
3 201660
4 201360
5 202241
6 202236
7 201932
8 201728
9 202224
10 201623
11 202218
12 202317
13 202117
14 202115
15 202113
16 202212
17 202110
18 20228
19 20237
20 20227

About Ramu Adela

Ramu Adela is a scholar working on Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Epidemiology and Physiology, having authored 35 papers that have together received 940 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Birth, Development, and Health (6 papers), Vitamin D Research Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Cardiovascular Function and Risk Factors (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), GDF15 and Related Biomarkers (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Rheumatology (307 citations), Physiology (297 citations), Immunology (196 citations), Obstetrics and Gynecology (71 citations) and Geriatrics and Gerontology (23 citations). Ramu Adela has collaborated with scholars based in India, United States and Spain. Frequent co-authors include S. Banerjee, Roshan M. Borkar, Tarak Nath Khatua, Ayan Kumar Barui, Saidulu Mattapally, Pankaj K. Bagul, Susheel Kumar Nethi, Chitta Ranjan Patra, Gayatri Vishwakarma and Bommana Raghunath Reddy. Their work appears in journals such as Phytotherapy Research, Environmental Science and Pollution Research, Frontiers in Immunology, PLoS ONE and Scientific Reports.

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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