Leo McHugh

1.5k total citations
18 papers, 534 citations indexed

About

Leo McHugh is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Leo McHugh has authored 18 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 6 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Leo McHugh's work include Cervical Cancer and HPV Research (4 papers), Colorectal and Anal Carcinomas (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Leo McHugh is often cited by papers focused on Cervical Cancer and HPV Research (4 papers), Colorectal and Anal Carcinomas (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Leo McHugh collaborates with scholars based in Australia, United States and United Kingdom. Leo McHugh's co-authors include Jonathan W. Arthur, Thomas D. Yager, Therese Seldon, Richard B. Brandon, Richard J. Hillman, Andrew E. Grulich, Fengyi Jin, Othmar Korn, Kim‐Anh Lê Cao and Winnie Tong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Leo McHugh

18 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leo McHugh Australia	12	292	155	141	100	84	18	534
Francesca Taverna Italy	15	133 0.5×	81 0.5×	81 0.6×	37 0.4×	119 1.4×	28	486
Liliang Wei China	17	320 1.1×	427 2.8×	96 0.7×	112 1.1×	24 0.3×	31	815
Yasumi Yoshizane Japan	6	240 0.8×	162 1.0×	111 0.8×	40 0.4×	121 1.4×	7	597
Weimin She China	11	302 1.0×	136 0.9×	58 0.4×	230 2.3×	45 0.5×	14	585
Luis Sorell Cuba	13	97 0.3×	136 0.9×	92 0.7×	60 0.6×	45 0.5×	25	373
Theodore E. Mifflin United States	12	76 0.3×	137 0.9×	79 0.6×	22 0.2×	23 0.3×	34	543
Christine Schmotzer United States	12	76 0.3×	198 1.3×	35 0.2×	41 0.4×	23 0.3×	31	532
Sam Khorrami Spain	17	123 0.4×	124 0.8×	475 3.4×	97 1.0×	30 0.4×	32	786
Elisabeth Errazuriz-Cerda France	9	102 0.3×	140 0.9×	41 0.3×	99 1.0×	43 0.5×	13	441
Wenting Tan China	15	265 0.9×	99 0.6×	36 0.3×	91 0.9×	25 0.3×	41	555

Countries citing papers authored by Leo McHugh

Since Specialization

Citations

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

Fields of papers citing papers by Leo McHugh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo McHugh

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

All Works

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18 of 18 papers shown

Sampson, Dayle, Thomas D. Yager, Brian A. Fox, et al.. (2020). Blood transcriptomic discrimination of bacterial and viral infections in the emergency department: a multi-cohort observational validation study. BMC Medicine. 18(1). 185–185. 22 indexed citations

Sampson, Dayle, Thomas D. Yager, Brian A. Fox, et al.. (2020). Correction to: Blood transcriptomic discrimination of bacterial and viral infections in the emergency department: a multi-cohort observational validation study. BMC Medicine. 18(1). 1 indexed citations

McHugh, Leo, Kevin Snyder, & Thomas D. Yager. (2019). The effect of uncertainty in patient classification on diagnostic performance estimations. PLoS ONE. 14(5). e0217146–e0217146. 13 indexed citations

McHugh, Leo. (2018). 2022. Modeling Improved Patient Management and Hospital Savings with SeptiCyte LAB in the Diagnosis of Sepsis at ICU Admission. Open Forum Infectious Diseases. 5(suppl_1). S589–S589. 1 indexed citations

Sampson, Dayle, Brian A. Fox, Thomas D. Yager, et al.. (2017). A Four-Biomarker Blood Signature Discriminates Systemic Inflammation Due to Viral Infection Versus Other Etiologies. Scientific Reports. 7(1). 2914–2914. 51 indexed citations

Zimmerman, Jerry J., Erin Sullivan, Thomas D. Yager, et al.. (2016). Diagnostic Accuracy of a Host Gene Expression Signature That Discriminates Clinical Severe Sepsis Syndrome and Infection-Negative Systemic Inflammation Among Critically Ill Children. Critical Care Medicine. 45(4). e418–e425. 25 indexed citations

McHugh, Leo, Therese Seldon, Roslyn A. Brandon, et al.. (2015). A Molecular Host Response Assay to Discriminate Between Sepsis and Infection-Negative Systemic Inflammation in Critically Ill Patients: Discovery and Validation in Independent Cohorts. PLoS Medicine. 12(12). e1001916–e1001916. 127 indexed citations

Sullivan, Erin, et al.. (2015). 1024. Critical Care Medicine. 43. 258–258. 1 indexed citations

Miller, Russell R., Bert K. Lopansri, Leo McHugh, et al.. (2015). 1002. Critical Care Medicine. 43. 252–252. 1 indexed citations

10.

Cao, Kim‐Anh Lê, Florian Rohart, Leo McHugh, Othmar Korn, & Christine A. Wells. (2014). YuGene: A simple approach to scale gene expression data derived from different platforms for integrated analyses. Genomics. 103(4). 239–251. 49 indexed citations

11.

Hillman, Richard J., Suzanne M. Garland, Matthew P. Stevens, et al.. (2014). Human papillomavirus (HPV) genotypes in an Australian sample of anal cancers. International Journal of Cancer. 135(4). 996–1001. 33 indexed citations

12.

Tong, Winnie, Fengyi Jin, Leo McHugh, et al.. (2013). Progression to and spontaneous regression of high-grade anal squamous intraepithelial lesions in HIV-infected and uninfected men. AIDS. 27(14). 2233–2243. 77 indexed citations

13.

Pett, Sarah, Andrew Carr, Debbie Marriott, et al.. (2012). Anal cytological abnormalities are poor predictors of high-grade intraepithelial neoplasia amongst HIV-positive men who have sex with men. Sexual Health. 10(1). 9–17. 12 indexed citations

14.

Hillman, Richard J., Marina T. van Leeuwen, Claire M. Vajdic, et al.. (2012). Prevalence and predictors of high-grade anal intraepithelial neoplasia in a community-based sample of homosexual men. Sexual Health. 9(6). 574–579. 11 indexed citations

15.

McHugh, Leo & Jonathan W. Arthur. (2010). Harvest: an open-source tool for the validation and improvement of peptide identification metrics and fragmentation exploration. BMC Bioinformatics. 11(1). 448–448. 1 indexed citations

16.

Mindel, Adrian, et al.. (2009). Genital herpes: an Internet-based risk survey. International Journal of STD & AIDS. 20(11). 785–789. 2 indexed citations

17.

McHugh, Leo & Jonathan W. Arthur. (2008). Computational Methods for Protein Identification from Mass Spectrometry Data. PLoS Computational Biology. 4(2). e12–e12. 62 indexed citations

18.

Mage, Michael G., Randall K. Ribaudo, Maripat Corr, et al.. (1992). A recombinant, soluble, single-chain class I major histocompatibility complex molecule with biological activity.. Proceedings of the National Academy of Sciences. 89(22). 10658–10662. 45 indexed citations

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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