Howard Marsh

704 citations
23 papers · 426 · h-index 7

Impact in

Papers in

Howard Marsh

21 papers receiving 412 citations

Peers

Howard Marsh
Comparison fields: 5 of 93
  • Pharmacy 34
  • Cancer Research 103
  • Emergency Medical Services 37
  • Oncology 91
  • Molecular Biology 227
Replace Ann Roosaar with:
Ann Roosaar Sweden
Caitlyn Ngam United States
Lily S. Subrata Australia
Ariffin Nasir Malaysia
A Kilby United Kingdom
S. Sonis United States
Diana Quint United Kingdom
Yan Zhai United States
Steven Garzon United States
Akshat Malik India
Howard Marsh relative to Ann Roosaar Sweden Ann Roosaar's profile →
Citations per field
00.5×12.3×
Ann Roosaar · 1×
Citations per year

Countries citing papers authored by Howard Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Howard Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A variant within the DNA repair gene XRCC3 is associated with the development of melanoma skin cancer.
2000242
2 201456
3 200340
4
Liver biopsy in cattle.
195323
5 199918
6
Successful treatment of Rhodococcus equi pulmonary infection in a renal transplant recipient.
20007
7 20136
8 20135
9 20174
10 20164
11 20093
12 20203
13 20093
14 20092
15 20092
16 20092
17 20142
18 20241
19 20141
20 20141

About Howard Marsh

Howard Marsh is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Pediatrics, Perinatology and Child Health, General Health Professions and Pharmacy, having authored 23 papers that have together received 426 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (6 papers), Pediatric Urology and Nephrology Studies (4 papers), Medical Malpractice and Liability Issues (4 papers), Hernia repair and management (2 papers), Vascular anomalies and interventions (2 papers), Radiation Dose and Imaging (2 papers), Testicular diseases and treatments (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Pharmacy (34 citations), Cancer Research (103 citations), Emergency Medical Services (37 citations), Oncology (91 citations) and Molecular Biology (227 citations). Howard Marsh has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Sara E. Marshall, N. Haldar, Samantha Winsey, Adrian L. Harris, Ken I. Welsh, Michael Bunce, Fenella Wojnarowska, Prokar Dasgupta, Kamran Ahmed and Fahd Khan. Their work appears in journals such as British Journal of Urology, Clinical Anatomy, International Journal of Surgery, British Journal of Cancer and International Journal of Urology.

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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