Ramith Ramu

145 papers receiving 2.6k citations

Peers

Ramith Ramu
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 560
  • Food Science 515
  • Computational Theory and Mathematics 357
  • Biochemistry 93
  • Organic Chemistry 374
Replace Achyut Adhikari with:
Achyut Adhikari Pakistan
Faizan Abul Qais India
Antonella Fais Italy
Chawki Bensouıcı Algeria
Yongsheng Chen China
Mumtaz Ali Pakistan
Yousef A. Bin Jardan Saudi Arabia
Andrija Šmelcerović Serbia
Fahd Ali Nasr Saudi Arabia
Farhan Zameer India
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Citations per year

Countries citing papers authored by Ramith Ramu

Since Specialization
Citations

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

Fields of papers citing papers by Ramith Ramu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019152
2 2021132
3 2014109
4 201677
5 201977
6 201666
7 201665
8 202264
9 202363
10 202261
11 202154
12 202153
13 202253
14 202151
15 201746
16 202146
17 202145
18 202244
19 202241
20 202241

About Ramith Ramu

Ramith Ramu is a scholar working on Endocrinology, Diabetes and Metabolism, Computational Theory and Mathematics, Organic Chemistry, Food Science and Infectious Diseases, having authored 158 papers that have together received 2.7k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (28 papers), Computational Drug Discovery Methods (24 papers), Synthesis and biological activity (23 papers), Probiotics and Fermented Foods (15 papers), Synthesis and Characterization of Heterocyclic Compounds (9 papers), Medicinal Plant Research (7 papers), Advanced Photocatalysis Techniques (7 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (560 citations), Food Science (515 citations), Computational Theory and Mathematics (357 citations), Biochemistry (93 citations) and Organic Chemistry (374 citations). Ramith Ramu has collaborated with scholars based in India, Saudi Arabia and Malaysia. Frequent co-authors include Shashank M. Patil, Prithvi S. Shirahatti, Farhan Zameer, V. Lakshmi Ranganatha, C. Mallikarjunaswamy, Chandana Kumari V B, Ganganagappa Nagaraju, Reshma Mary Martiz, M. N. Nagendra Prasad and Raghavendra G G Amachawadi. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Frontiers in Microbiology, Molecules, PLoS ONE and International Journal of Pharmacy and Pharmaceutical Sciences.

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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