G. Rajarami Reddy

29 total papers · 489 total citations
18 papers, 407 citations indexed

About

G. Rajarami Reddy is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, G. Rajarami Reddy has authored 18 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health, Toxicology and Mutagenesis, 7 papers in Nutrition and Dietetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in G. Rajarami Reddy's work include Heavy Metal Exposure and Toxicity (9 papers), Trace Elements in Health (7 papers) and Neurobiology and Insect Physiology Research (5 papers). G. Rajarami Reddy is often cited by papers focused on Heavy Metal Exposure and Toxicity (9 papers), Trace Elements in Health (7 papers) and Neurobiology and Insect Physiology Research (5 papers). G. Rajarami Reddy collaborates with scholars based in India and United States. G. Rajarami Reddy's co-authors include R Prasanthi, John S. Edwards, Riyaz Basha, Manju Rani, Chellu S. Chetty, K. Sasira Babu, Y. Sreenivasulu and S. Vijayalakshmi and has published in prestigious journals such as The Journal of Comparative Neurology, Journal of Neurochemistry and Ecotoxicology and Environmental Safety.

In The Last Decade

G. Rajarami Reddy

17 papers receiving 382 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. Rajarami Reddy 229 123 90 58 40 18 407
Ana Paula Pegoraro Zemolin 146 0.6× 62 0.5× 95 1.1× 51 0.9× 94 2.4× 20 463
Isabel Corpas 170 0.7× 111 0.9× 32 0.4× 49 0.8× 67 1.7× 19 420
D. Baić 163 0.7× 107 0.9× 79 0.9× 36 0.6× 49 1.2× 14 396
Ali Alkaladi 158 0.7× 19 0.2× 37 0.4× 45 0.8× 42 1.1× 20 419
Maria Michael Aruldhas 158 0.7× 48 0.4× 96 1.1× 25 0.4× 116 2.9× 9 432
Joseph Kochmanski 104 0.5× 22 0.2× 48 0.5× 50 0.9× 165 4.1× 23 385
Mehran Arabi 148 0.6× 59 0.5× 53 0.6× 14 0.2× 60 1.5× 36 449
Adrieli Sachett 92 0.4× 21 0.2× 84 0.9× 41 0.7× 54 1.4× 25 389
Marcos Martins Braga 60 0.3× 35 0.3× 52 0.6× 52 0.9× 90 2.3× 16 421
Eila Kaliste-Korhonen 129 0.6× 18 0.1× 120 1.3× 15 0.3× 62 1.6× 17 423

Countries citing papers authored by G. Rajarami Reddy

Since Specialization
Citations

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

Fields of papers citing papers by G. Rajarami Reddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Rajarami Reddy. 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 G. Rajarami Reddy. The network helps show where G. Rajarami Reddy may publish in the future.

Co-authorship network of co-authors of G. Rajarami Reddy

This figure shows the co-authorship network connecting the top 25 collaborators of G. Rajarami Reddy. A scholar is included among the top collaborators of G. Rajarami Reddy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Rajarami Reddy. G. Rajarami Reddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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