Sabrina Newman

30 total papers · 631 total citations
11 papers, 339 citations indexed

About

Sabrina Newman is a scholar working on Epidemiology, Rheumatology and Pharmacology. According to data from OpenAlex, Sabrina Newman has authored 11 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Rheumatology and 2 papers in Pharmacology. Recurrent topics in Sabrina Newman's work include Drug-Induced Adverse Reactions (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Trypanosoma species research and implications (2 papers). Sabrina Newman is often cited by papers focused on Drug-Induced Adverse Reactions (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Trypanosoma species research and implications (2 papers). Sabrina Newman collaborates with scholars based in United States, Panama and Mexico. Sabrina Newman's co-authors include Katherine Frasca, José Antonio Suárez, Andrés F. Henao‐Martínez, Sara Scherrer, Sarah Mann, Poornima Ramanan, D Gröschel, Patti J. Miller, Richard P. Wenzel and Ruth X. Wang and has published in prestigious journals such as Annals of Internal Medicine, American Journal of Tropical Medicine and Hygiene and Canadian Medical Association Journal.

In The Last Decade

Sabrina Newman

10 papers receiving 330 citations

Hit Papers

A Review of Leishmaniasis... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Sabrina Newman 258 133 55 51 50 11 339
K. C. Carter 268 1.0× 159 1.2× 59 1.1× 42 0.8× 77 1.5× 12 335
Juan P. Macêdo 186 0.7× 142 1.1× 50 0.9× 93 1.8× 29 0.6× 12 294
Michèle Deniau 301 1.2× 193 1.5× 81 1.5× 20 0.4× 35 0.7× 9 352
Tatyana Kobets 218 0.8× 147 1.1× 45 0.8× 74 1.5× 21 0.4× 16 329
Manoela Daiele Gonçalves 244 0.9× 129 1.0× 43 0.8× 56 1.1× 86 1.7× 15 342
Pninit Shaked‐Mishan 257 1.0× 183 1.4× 55 1.0× 73 1.4× 66 1.3× 14 383
Anke E Kip 250 1.0× 184 1.4× 62 1.1× 41 0.8× 61 1.2× 16 373
Anette Chrusciak Talhari 296 1.1× 186 1.4× 36 0.7× 15 0.3× 38 0.8× 10 351
Mohan Mishra 335 1.3× 201 1.5× 74 1.3× 19 0.4× 55 1.1× 7 381
Ángela Ávila 226 0.9× 279 2.1× 49 0.9× 123 2.4× 96 1.9× 17 386

Countries citing papers authored by Sabrina Newman

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Newman

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