Naaz Fatteh

16 total papers · 646 total citations
11 papers, 367 citations indexed

About

Naaz Fatteh is a scholar working on Infectious Diseases, Neurology and Molecular Biology. According to data from OpenAlex, Naaz Fatteh has authored 11 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Naaz Fatteh's work include Long-Term Effects of COVID-19 (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Rabies epidemiology and control (2 papers). Naaz Fatteh is often cited by papers focused on Long-Term Effects of COVID-19 (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Rabies epidemiology and control (2 papers). Naaz Fatteh collaborates with scholars based in United States, Colombia and Peru. Naaz Fatteh's co-authors include Fabio Vogel, Michael S. Sherman, James P. Earls, Denis R. Pauze, Susan Bersoff‐Matcha, Apoorve Nayyar, Anthony M. Napoli, Rodney E. Willoughby, Dan Hanfling and Joe Rosenthal and has published in prestigious journals such as JAMA, Radiology and CHEST Journal.

In The Last Decade

Naaz Fatteh

11 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
Naaz Fatteh 210 123 53 48 44 11 367
Wing Ki Chan 214 1.0× 61 0.5× 27 0.5× 171 3.6× 20 0.5× 6 401
Angela M. Rose 127 0.6× 67 0.5× 12 0.2× 68 1.4× 38 0.9× 27 437
James Pitman 261 1.2× 29 0.2× 15 0.3× 77 1.6× 12 0.3× 11 378
Stephen M. Bart 168 0.8× 128 1.0× 10 0.2× 24 0.5× 15 0.3× 15 374
Jiro Wada 300 1.4× 65 0.5× 18 0.3× 57 1.2× 21 0.5× 23 384
Sarah Reagan 185 0.9× 104 0.8× 33 0.6× 188 3.9× 40 0.9× 11 411
Judith M. Phillips 253 1.2× 87 0.7× 28 0.5× 8 0.2× 39 0.9× 11 420
Valentine Wanga 107 0.5× 33 0.3× 68 1.3× 159 3.3× 12 0.3× 20 418
V. F. Garagusi 157 0.7× 52 0.4× 16 0.3× 60 1.3× 23 0.5× 15 377
Mary Lynn Baniecki 94 0.4× 64 0.5× 24 0.5× 222 4.6× 27 0.6× 17 371

Countries citing papers authored by Naaz Fatteh

Since Specialization
Citations

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

Fields of papers citing papers by Naaz Fatteh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naaz Fatteh

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