Marshall Austin

1.2k total citations · 1 hit paper
6 papers, 857 citations indexed

About

Marshall Austin is a scholar working on Surgery, Epidemiology and Molecular Biology. According to data from OpenAlex, Marshall Austin has authored 6 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Epidemiology and 1 paper in Molecular Biology. Recurrent topics in Marshall Austin's work include Cervical Cancer and HPV Research (4 papers), Genital Health and Disease (3 papers) and Hepatitis B Virus Studies (1 paper). Marshall Austin is often cited by papers focused on Cervical Cancer and HPV Research (4 papers), Genital Health and Disease (3 papers) and Hepatitis B Virus Studies (1 paper). Marshall Austin collaborates with scholars based in United States and China. Marshall Austin's co-authors include Ji‐Won Yoon, Takashi Onodera, Abner Louis Notkins, Ibrahim Ramzy, Chengquan Zhao, Huina Zhang, Yanmei He, Kaixuan Yang, Saleem A. Khan and Xiao Tang and has published in prestigious journals such as New England Journal of Medicine, American Journal of Clinical Pathology and Journal of Medical Virology.

In The Last Decade

Marshall Austin

6 papers receiving 783 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Virus-Induced Diabetes Mellitus

1979 711 citations Ji‐Won Yoon, Marshall Austin et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marshall Austin United States	6	561	321	250	209	186	6	857
Maarit Oikarinen Finland	14	650 1.2×	338 1.1×	291 1.2×	179 0.9×	92 0.5×	20	870
A. K. Foulis United Kingdom	11	614 1.1×	422 1.3×	300 1.2×	362 1.7×	119 0.6×	19	1.0k
Amir‐Babak Sioofy‐Khojine Finland	17	392 0.7×	175 0.5×	179 0.7×	134 0.6×	128 0.7×	36	831
Natalie L. Stone Australia	11	721 1.3×	430 1.3×	408 1.6×	378 1.8×	58 0.3×	17	1.1k
Minna Sjöroos Finland	15	742 1.3×	526 1.6×	491 2.0×	210 1.0×	93 0.5×	21	1.1k
Cody Fine United States	11	275 0.5×	129 0.4×	76 0.3×	303 1.4×	62 0.3×	14	611
Paula Klemetti Finland	15	368 0.7×	136 0.4×	70 0.3×	286 1.4×	174 0.9×	29	811
Dennis G. Karounos United States	14	204 0.4×	157 0.5×	237 0.9×	215 1.0×	39 0.2×	29	670
Emma Svedin Sweden	11	114 0.2×	101 0.3×	41 0.2×	127 0.6×	56 0.3×	13	374
S. Bousnina Tunisia	10	139 0.2×	193 0.6×	198 0.8×	20 0.1×	65 0.3×	68	570

Countries citing papers authored by Marshall Austin

Since Specialization

Citations

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

Fields of papers citing papers by Marshall Austin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marshall Austin

This figure shows the co-authorship network connecting the top 25 collaborators of Marshall Austin. A scholar is included among the top collaborators of Marshall Austin 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 Marshall Austin. Marshall Austin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Tang, Xiao, Wei Jiang, Marshall Austin, et al.. (2022). Extended human papillomavirus genotype distribution in cervical intraepithelial neoplasia and cancer: Analysis of 40 352 cases from a large academic gynecologic center in China. Journal of Medical Virology. 95(1). e28302–e28302. 21 indexed citations

2.

Zhang, Huina, Juan Li, Marshall Austin, et al.. (2020). HPV detection rates and histopathologic follow-up of patients with HSIL cytology in a large academic women’s hospital laboratory. Journal of the American Society of Cytopathology. 9(6). 550–555. 8 indexed citations

3.

Han, Min, et al.. (2019). Human Papillomavirus (HPV) 16 and 18/45 Genotyping-Directed Follow-up of Women With Messenger RNA HPV-Positive, Cytology-Negative Cervical Screening Test Results. American Journal of Clinical Pathology. 153(2). 243–250. 7 indexed citations

4.

Gardiner, Amy S., Robert P. Edwards, Marshall Austin, et al.. (2010). MicroRNA analysis in human papillomavirus (HPV)-associated cervical neoplasia and cancer. Infectious Agents and Cancer. 5(S1). 13 indexed citations

5.

Austin, Marshall & Ibrahim Ramzy. (1998). Increased Detection of Epithelial Cell Abnormalities by Liquid-Based Gynecologic Cytology Preparations. Acta Cytologica. 42(1). 178–184. 97 indexed citations

6.

Yoon, Ji‐Won, Marshall Austin, Takashi Onodera, & Abner Louis Notkins. (1979). Virus-Induced Diabetes Mellitus. New England Journal of Medicine. 300(21). 1173–1179. 711 indexed citations breakdown →

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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