Rajiv Mangla

67 total papers · 1.4k total citations
48 papers, 985 citations indexed

About

Rajiv Mangla is a scholar working on Neurology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rajiv Mangla has authored 48 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Neurology, 14 papers in Genetics and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rajiv Mangla's work include Glioma Diagnosis and Treatment (13 papers), MRI in cancer diagnosis (9 papers) and Acute Ischemic Stroke Management (5 papers). Rajiv Mangla is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), MRI in cancer diagnosis (9 papers) and Acute Ischemic Stroke Management (5 papers). Rajiv Mangla collaborates with scholars based in United States, India and Pakistan. Rajiv Mangla's co-authors include Sven Ekholm, Jeevak Almast, Balasubramanya Kolar, Daniel Thomas Ginat, Gabrielle Yeaney, Michael T. Milano, David N. Korones, Nishant Gupta, Doerthe Ziegelitz and Jianhui Zhong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Rajiv Mangla

48 papers receiving 968 citations

Author Peers

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

Author Last Decade Papers Cites
Rajiv Mangla 395 342 312 262 198 48 985
Cüneyt Erdoğan 455 1.2× 346 1.0× 313 1.0× 239 0.9× 169 0.9× 64 1.1k
Dairong Cao 460 1.2× 404 1.2× 180 0.6× 150 0.6× 120 0.6× 87 836
H. I. Goldberg 189 0.5× 145 0.4× 509 1.6× 238 0.9× 309 1.6× 36 1.1k
Benita Tamrazi 242 0.6× 468 1.4× 262 0.8× 219 0.8× 160 0.8× 60 905
Carlos Torres 252 0.6× 211 0.6× 339 1.1× 235 0.9× 310 1.6× 75 1.0k
Roberto Spiegelmann 447 1.1× 262 0.8× 592 1.9× 378 1.4× 122 0.6× 41 1.2k
Ignazio G. Vetrano 355 0.9× 548 1.6× 301 1.0× 314 1.2× 133 0.7× 86 1.2k
Jana Ivanidze 250 0.6× 205 0.6× 416 1.3× 332 1.3× 161 0.8× 80 1.1k
Maria Zetterling 230 0.6× 246 0.7× 309 1.0× 178 0.7× 187 0.9× 37 959
Hung‐Wen Kao 247 0.6× 113 0.3× 375 1.2× 364 1.4× 122 0.6× 55 886

Countries citing papers authored by Rajiv Mangla

Since Specialization
Citations

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

Fields of papers citing papers by Rajiv Mangla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajiv Mangla

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