Rama Walia

168 total papers · 2.5k total citations
122 papers, 1.7k citations indexed

About

Rama Walia is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Rama Walia has authored 122 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Endocrinology, Diabetes and Metabolism, 44 papers in Surgery and 26 papers in Molecular Biology. Recurrent topics in Rama Walia's work include Pituitary Gland Disorders and Treatments (35 papers), Adrenal and Paraganglionic Tumors (26 papers) and Growth Hormone and Insulin-like Growth Factors (18 papers). Rama Walia is often cited by papers focused on Pituitary Gland Disorders and Treatments (35 papers), Adrenal and Paraganglionic Tumors (26 papers) and Growth Hormone and Insulin-like Growth Factors (18 papers). Rama Walia collaborates with scholars based in India, United States and Italy. Rama Walia's co-authors include Anil Bhansali, Pinaki Dutta, Naresh Sachdeva, Sanjay Kumar Bhadada, M. Ravikiran, Shobhit Bhansali, Shipra Bhansali, Veena Dhawan, JS Thakur and Uma Nahar Saikia and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Cochrane Database of Systematic Reviews.

In The Last Decade

Rama Walia

113 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Rama Walia 842 510 350 326 224 122 1.7k
Barbara Altieri 548 0.7× 654 1.3× 248 0.7× 321 1.0× 243 1.1× 110 2.0k
Antonella Giampietro 1.4k 1.7× 487 1.0× 232 0.7× 336 1.0× 237 1.1× 107 1.8k
Kathleen Laborde 861 1.0× 416 0.8× 588 1.7× 152 0.5× 186 0.8× 55 1.8k
Katsutaro Shimaoka 1.3k 1.6× 522 1.0× 196 0.6× 313 1.0× 155 0.7× 86 2.3k
Vijaya Sarathi 713 0.8× 479 0.9× 141 0.4× 125 0.4× 252 1.1× 153 1.6k
J. A. H. Wass 1.8k 2.1× 682 1.3× 351 1.0× 497 1.5× 236 1.1× 62 2.3k
Wojciech Zgliczyński 1.3k 1.5× 499 1.0× 204 0.6× 231 0.7× 119 0.5× 168 1.9k
Takashi Ozaki 509 0.6× 426 0.8× 375 1.1× 348 1.1× 71 0.3× 106 2.2k
Luíz Augusto Casulari 783 0.9× 471 0.9× 170 0.5× 178 0.5× 119 0.5× 98 1.5k
Kálmán Kovács 471 0.6× 208 0.4× 343 1.0× 207 0.6× 176 0.8× 106 1.5k

Countries citing papers authored by Rama Walia

Since Specialization
Citations

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

Fields of papers citing papers by Rama Walia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rama Walia

This figure shows the co-authorship network connecting the top 25 collaborators of Rama Walia. A scholar is included among the top collaborators of Rama Walia 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 Rama Walia. Rama Walia 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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