Pema Raj

34 total papers · 1.1k total citations
31 papers, 833 citations indexed

About

Pema Raj is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology. According to data from OpenAlex, Pema Raj has authored 31 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 9 papers in Cardiology and Cardiovascular Medicine and 9 papers in Geriatrics and Gerontology. Recurrent topics in Pema Raj's work include Sirtuins and Resveratrol in Medicine (9 papers), Cardiac Ischemia and Reperfusion (7 papers) and Diet and metabolism studies (4 papers). Pema Raj is often cited by papers focused on Sirtuins and Resveratrol in Medicine (9 papers), Cardiac Ischemia and Reperfusion (7 papers) and Diet and metabolism studies (4 papers). Pema Raj collaborates with scholars based in Canada, Iran and United States. Pema Raj's co-authors include Thomas Netticadan, Shelley Zieroth, Sijo Joseph Thandapilly, Xavier Lieben Louis, Ali Movahed, Jason R.B. Dyck, Justin A. Ezekowitz, Liping Yu, Jeffrey T. Wigle and Afshin Ostovar and has published in prestigious journals such as Scientific Reports, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Pema Raj

29 papers receiving 820 citations

Author Peers

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

Author						Papers	Cites
Pema Raj	299	206	170	143	109	31	833
Noorafza Q. Khan	288 1.0×	95 0.5×	247 1.5×	121 0.8×	263 2.4×	17	930
Hiba Hasan	327 1.1×	175 0.8×	119 0.7×	41 0.3×	104 1.0×	14	902
Yavuz Taga	240 0.8×	177 0.9×	107 0.6×	29 0.2×	98 0.9×	17	701
Carolina E. Storniolo	169 0.6×	132 0.6×	116 0.7×	37 0.3×	143 1.3×	22	710
Rocío Morón	253 0.8×	240 1.2×	369 2.2×	42 0.3×	180 1.7×	25	971
Kheira M. Abdelaziz	360 1.2×	325 1.6×	254 1.5×	32 0.2×	102 0.9×	11	1.0k
Iñaki Milton‐Laskibar	278 0.9×	157 0.8×	394 2.3×	40 0.3×	65 0.6×	43	977
Motoaki Sato	439 1.5×	127 0.6×	159 0.9×	105 0.7×	125 1.1×	21	1.0k
Vicente Castrejón-Téllez	206 0.7×	62 0.3×	199 1.2×	72 0.5×	88 0.8×	37	727
Juanjuan Yan	445 1.5×	111 0.5×	119 0.7×	62 0.4×	39 0.4×	38	987

Countries citing papers authored by Pema Raj

Since Specialization

Citations

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

Fields of papers citing papers by Pema Raj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pema Raj

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