Nathanial S Nolan

37 total papers · 493 total citations
27 papers, 303 citations indexed

About

Nathanial S Nolan is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nathanial S Nolan has authored 27 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 9 papers in Infectious Diseases and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nathanial S Nolan's work include HIV, Drug Use, Sexual Risk (10 papers), Opioid Use Disorder Treatment (6 papers) and Social Media in Health Education (4 papers). Nathanial S Nolan is often cited by papers focused on HIV, Drug Use, Sexual Risk (10 papers), Opioid Use Disorder Treatment (6 papers) and Social Media in Health Education (4 papers). Nathanial S Nolan collaborates with scholars based in United States, Jordan and Switzerland. Nathanial S Nolan's co-authors include Laura R. Marks, Michael J. Durkin, Stephen Y. Liang, Samantha E. Adamson, Dominic N. Reeds, Jane A. O’Halloran, Melissa B. Weimer, William Salzer, David B. Liss and Umme‐Aiman Halai and has published in prestigious journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases and JAMA Internal Medicine.

In The Last Decade

Nathanial S Nolan

25 papers receiving 295 citations

Author Peers

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

Author						Papers	Cites
Nathanial S Nolan	166	106	103	49	31	27	303
Disa Dahlman	164 1.0×	137 1.3×	74 0.7×	20 0.4×	37 1.2×	31	304
Andrew H. Ruffner	150 0.9×	105 1.0×	130 1.3×	69 1.4×	68 2.2×	18	310
Chanelle Diaz	100 0.6×	85 0.8×	75 0.7×	42 0.9×	55 1.8×	16	261
Runa H. Gokhale	188 1.1×	142 1.3×	163 1.6×	16 0.3×	29 0.9×	15	319
Mait Raag	199 1.2×	95 0.9×	145 1.4×	13 0.3×	37 1.2×	35	343
Rafael Perelló	149 0.9×	68 0.6×	81 0.8×	23 0.5×	7 0.2×	25	308
Leah S. Fischer	92 0.6×	64 0.6×	83 0.8×	11 0.2×	32 1.0×	21	295
Rafaël Lucas	108 0.7×	87 0.8×	83 0.8×	10 0.2×	19 0.6×	47	347
Ali Nikfarjam	145 0.9×	38 0.4×	50 0.5×	67 1.4×	36 1.2×	19	319
Ayesha Appa	110 0.7×	64 0.6×	111 1.1×	27 0.6×	31 1.0×	30	321

Countries citing papers authored by Nathanial S Nolan

Since Specialization

Citations

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

Fields of papers citing papers by Nathanial S Nolan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathanial S Nolan. 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 Nathanial S Nolan. The network helps show where Nathanial S Nolan may publish in the future.

Co-authorship network of co-authors of Nathanial S Nolan

This figure shows the co-authorship network connecting the top 25 collaborators of Nathanial S Nolan. A scholar is included among the top collaborators of Nathanial S Nolan 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 Nathanial S Nolan. Nathanial S Nolan 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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