Johnny McHugh

521 citations
17 papers · 334 · h-index 7

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Blood groups and transfusion
  • Pharmacology top 10%
    • Antibiotics Pharmacokinetics and Efficacy

Papers in

    • Acute Myeloid Leukemia Research 3
    • Multiple Myeloma Research and Treatments 3
    • Blood disorders and treatments 3
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2

Johnny McHugh

16 papers receiving 328 citations

Peers

Johnny McHugh
Comparison fields: 5 of 45
  • Hematology 146
  • Pharmacology 89
  • Applied Microbiology and Biotechnology 7
  • Clinical Biochemistry 22
  • Infectious Diseases 51
Replace Ludwig Traby with:
Ludwig Traby Austria
M Nagase Japan
Akihito Kitao Japan
C. Aul Germany
Elifcan Aladağ Türkiye
P. M. Chipping United Kingdom
C. Hui Australia
L Biland Switzerland
Utis Deesomchok Thailand
Alessandra Serrao Italy
Johnny McHugh relative to Ludwig Traby Austria Ludwig Traby's profile →
Citations per field
00.5×7.4×
Ludwig Traby · 1×
Citations per year

Countries citing papers authored by Johnny McHugh

Since Specialization
Citations

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

Fields of papers citing papers by Johnny McHugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Johnny 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 Johnny McHugh Line = papers co-authored together Johnny McHugh links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2008125
2 201344
3 201744
4 201734
5 201527
6 201726
7 20179
8 20176
9 20116
10 20175
11 20143
12 20151
13 20241
14 20161
15 20151
16 20221
17 20180

About Johnny McHugh

Johnny McHugh is a scholar working on Hematology, Genetics, Oncology, Genetics and Surgery, having authored 17 papers that have together received 334 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Blood disorders and treatments (3 papers), Neutropenia and Cancer Infections (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Case Reports on Hematomas (1 paper). The work is most often cited by research in Hematology (146 citations), Pharmacology (89 citations), Applied Microbiology and Biotechnology (7 citations), Clinical Biochemistry (22 citations) and Infectious Diseases (51 citations). Johnny McHugh has collaborated with scholars based in Ireland, Australia and United Kingdom. Frequent co-authors include Peter O’Gorman, Helen Enright, Conor Shortt, Steven J. Eustace, James P. Gleeson, Tadhg G. Gleeson, John M. Moriarty, Patricia Fitzpatrick, Martin O’Connell and Evelyn Deasy. Their work appears in journals such as British Journal of Haematology, Blood, Transfusion, Antimicrobial Agents and Chemotherapy and Journal of the Neurological Sciences.

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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