Mark P. Murphy

32 papers receiving 1.0k citations

Mark P. Murphy's Hit Papers

Characterization of the Inflammatory Response to Severe COVID-19 Illness 2020 · 503 citations
5030+2+4Years since publication100200300400500

Peers

Mark P. Murphy
Comparison fields: 5 of 102
  • Infectious Diseases 293
  • Neurology 158
  • Pulmonary and Respiratory Medicine 244
  • Cancer Research 104
  • Immunology 145
Replace Takatoshi Enomoto with:
Takatoshi Enomoto Japan
Takayuki Niitsu Japan
Fumitake Saito Japan
Sabi Gurung United States
Noémie Suh Switzerland
Yanqiu Wei China
Reena Nair Khade United Kingdom
Emilia Liana Falcone United States
Huihui Yue China
Mark P. Murphy relative to Takatoshi Enomoto Japan Takatoshi Enomoto's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark P. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Mark P. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark P. Murphy. 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 Mark P. Murphy. The network helps show where Mark P. Murphy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Characterization of the Inflammatory Response to Severe COVID-19 Illness
Hit paper breakdown →
2020503
2 202384
3 201160
4 201149
5 201935
6 202330
7 201529
8 202029
9 200123
10 202022
11 202222
12 202020
13 201920
14 202220
15 202018
16 202015
17 201514
18 202011
19 197911
20 20179

About Mark P. Murphy

Mark P. Murphy is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Oncology, Hematology and Immunology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Cystic Fibrosis Research Advances (7 papers), Neonatal Respiratory Health Research (5 papers), Peptidase Inhibition and Analysis (4 papers), Bacterial biofilms and quorum sensing (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Pneumonia and Respiratory Infections (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (293 citations), Neurology (158 citations), Pulmonary and Respiratory Medicine (244 citations), Cancer Research (104 citations) and Immunology (145 citations). Mark P. Murphy has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Britta Stordal, Noel Gerard McElvaney, Emer P. Reeves, Emma M. Caraher, Ronald Lagoe, Oliver J. McElvaney, Oisín F. McElvaney, Tomás P. Carroll, Orla M. Keane and Finola Catherine Leonard. Their work appears in journals such as Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation, Thorax, American Journal of Respiratory and Critical Care Medicine, Expert Review of Respiratory Medicine and Drug Resistance Updates.

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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