Leo McHugh

1.6k citations
18 papers · 563 · h-index 12

Impact in

  • Epidemiology top 10%
    • Cervical Cancer and HPV Research
    • Sepsis Diagnosis and Treatment
    • Bacterial Identification and Susceptibility Testing

Papers in

    • Cervical Cancer and HPV Research 4
    • Sepsis Diagnosis and Treatment 3
    • Data-Driven Disease Surveillance 1
    • Glycosylation and Glycoproteins Research 1
    • Gene expression and cancer classification 1

Leo McHugh

18 papers receiving 556 citations

Peers

Leo McHugh
Comparison fields: 5 of 74
  • Epidemiology 239
  • Clinical Biochemistry 47
  • Immunology 82
  • Critical Care and Intensive Care Medicine 16
  • Spectroscopy 54
Replace Anatol Panasiuk with:
Anatol Panasiuk Poland
Ann Kift‐Morgan United Kingdom
Michel Pontet France
Francesca Taverna Italy
Sofia Christakoudi United Kingdom
Bingchao Han China
Yasumi Yoshizane Japan
David G. Sterling United States
Elisabeth Errazuriz-Cerda France
Claudia Schurmann Germany
Leo McHugh relative to Anatol Panasiuk Poland Anatol Panasiuk's profile →
Citations per field
00.5×
Anatol Panasiuk · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Leo McHugh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leo McHugh Line = papers co-authored together Leo McHugh links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2015136
2 201379
3 200870
4 201753
5 201450
6 199245
7 201436
8 201627
9 202023
10 201213
11 201913
12 201211
13 20092
14 20101
15 20201
16 20181
17 20151
18 20151

About Leo McHugh

Leo McHugh is a scholar working on Epidemiology, Molecular Biology, Spectroscopy, Immunology and Surgery, having authored 18 papers that have together received 563 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (4 papers), Sepsis Diagnosis and Treatment (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Glycosylation and Glycoproteins Research (1 paper), Data-Driven Disease Surveillance (1 paper), Gene expression and cancer classification (1 paper), T-cell and B-cell Immunology (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Epidemiology (239 citations), Clinical Biochemistry (47 citations), Immunology (82 citations), Critical Care and Intensive Care Medicine (16 citations) and Spectroscopy (54 citations). Leo McHugh has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Jonathan W. Arthur, Thomas D. Yager, Therese Seldon, Richard J. Hillman, Richard B. Brandon, Andrew E. Grulich, Fengyi Jin, Othmar Korn, Roslyn A. Brandon and Winnie Tong. Their work appears in journals such as Critical Care Medicine, BMC Medicine, Sexual Health, International Journal of STD & AIDS and AIDS.

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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