Natalie Antinoff

31 total papers · 530 total citations
16 papers, 355 citations indexed

About

Natalie Antinoff is a scholar working on Microbiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Natalie Antinoff has authored 16 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Microbiology, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Natalie Antinoff's work include Microbial infections and disease research (4 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers) and Tracheal and airway disorders (2 papers). Natalie Antinoff is often cited by papers focused on Microbial infections and disease research (4 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers) and Tracheal and airway disorders (2 papers). Natalie Antinoff collaborates with scholars based in United States, United Kingdom and China. Natalie Antinoff's co-authors include Kevin A. Hahn, Steven C. Clark, J.E. Pierce, W. French Anderson, Brian Agricola, David G. Nathan, Arthur W. Nienhuis, Robert E. Donahue, Stefan Karlsson and David N. Phalen and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Microbiology and Journal of the American Veterinary Medical Association.

In The Last Decade

Natalie Antinoff

16 papers receiving 328 citations

Author Peers

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

Author						Papers	Cites
Natalie Antinoff	93	72	70	65	60	16	355
Kociba Gj	99 1.1×	35 0.5×	81 1.2×	57 0.9×	23 0.4×	22	380
Christine J. Swardson	62 0.7×	38 0.5×	75 1.1×	52 0.8×	24 0.4×	10	318
Gerard McLauchlan	37 0.4×	108 1.5×	39 0.6×	27 0.4×	39 0.7×	20	340
Daniel S. Foy	106 1.1×	61 0.8×	26 0.4×	82 1.3×	18 0.3×	17	389
L. Cl. Schulz	39 0.4×	30 0.4×	36 0.5×	46 0.7×	20 0.3×	35	375
Scott Dw	16 0.2×	63 0.9×	29 0.4×	75 1.2×	38 0.6×	38	385
Heather L. Wamsley	34 0.4×	43 0.6×	18 0.3×	22 0.3×	34 0.6×	24	338
Tomoko Ishida	92 1.0×	23 0.3×	61 0.9×	31 0.5×	13 0.2×	34	331
T Shida	20 0.2×	136 1.9×	34 0.5×	21 0.3×	52 0.9×	16	390
Choong‐Hwan Cha	43 0.5×	34 0.5×	14 0.2×	95 1.5×	19 0.3×	30	294

Countries citing papers authored by Natalie Antinoff

Since Specialization

Citations

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

Fields of papers citing papers by Natalie Antinoff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Antinoff

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