Nasim Fazel

65 total papers · 3.0k total citations
52 papers, 1.9k citations indexed

About

Nasim Fazel is a scholar working on Pathology and Forensic Medicine, Epidemiology and Dermatology. According to data from OpenAlex, Nasim Fazel has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 13 papers in Epidemiology and 12 papers in Dermatology. Recurrent topics in Nasim Fazel's work include Oral Health Pathology and Treatment (11 papers), Autoimmune Bullous Skin Diseases (9 papers) and Salivary Gland Tumors Diagnosis and Treatment (5 papers). Nasim Fazel is often cited by papers focused on Oral Health Pathology and Treatment (11 papers), Autoimmune Bullous Skin Diseases (9 papers) and Salivary Gland Tumors Diagnosis and Treatment (5 papers). Nasim Fazel collaborates with scholars based in United States, Puerto Rico and Germany. Nasim Fazel's co-authors include Jillian Wong Millsop, Parastoo Davari, Farzam Gorouhi, Melanie J. Tuerk, Peter Lynch, Maxwell A. Fung, Emanual Maverakis, Elizabeth A. Wang, Victoria R. Sharon and Michelle Draznin and has published in prestigious journals such as Journal of Dental Research, Journal of the American Academy of Dermatology and British Journal of Dermatology.

In The Last Decade

Nasim Fazel

51 papers receiving 1.8k citations

Hit Papers

Cutaneous and Mucosal Lic... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Nasim Fazel 506 345 339 298 295 52 1.9k
E A Field 814 1.6× 257 0.7× 221 0.7× 52 0.2× 166 0.6× 107 2.3k
P.J.A. HOLT 191 0.4× 611 1.8× 727 2.1× 69 0.2× 209 0.7× 86 2.2k
Lorena Baccaglini 404 0.8× 284 0.8× 68 0.2× 117 0.4× 72 0.2× 59 1.5k
Carl M. Allen 611 1.2× 610 1.8× 232 0.7× 35 0.1× 634 2.1× 121 2.9k
Karen Cherubini 546 1.1× 156 0.5× 158 0.5× 38 0.1× 125 0.4× 141 2.2k
Sadeq Ali Al‐Maweri 1.0k 2.0× 252 0.7× 151 0.4× 43 0.1× 88 0.3× 102 1.8k
Jang‐Jaer Lee 725 1.4× 167 0.5× 101 0.3× 71 0.2× 139 0.5× 96 3.3k
Sol Silverman 1.2k 2.4× 251 0.7× 244 0.7× 28 0.1× 144 0.5× 33 2.5k
Fernanda Gonçalves Salum 516 1.0× 144 0.4× 163 0.5× 33 0.1× 117 0.4× 106 1.9k
P.‐J. Lamey 682 1.3× 304 0.9× 92 0.3× 43 0.1× 110 0.4× 41 1.6k

Countries citing papers authored by Nasim Fazel

Since Specialization
Citations

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

Fields of papers citing papers by Nasim Fazel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasim Fazel

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