Stephen Marcella

771 citations
31 papers · 604 indexed · h-index 13

Impact in

    • Clostridium difficile and Clostridium perfringens research
    • Colorectal Cancer Screening and Detection
    • Global Cancer Incidence and Screening

Papers in

Stephen Marcella

30 papers receiving 585 citations

Peers

Stephen Marcella
Comparison fields: 5 of 94
  • Infectious Diseases 142
  • Oncology 177
  • Critical Care and Intensive Care Medicine 30
  • Epidemiology 169
  • Pulmonary and Respiratory Medicine 122
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Samir Ahid Morocco
Mary Killackey United States
Yousaf Hadi United States
Rajkumar Chinnadurai United Kingdom
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Ana Acuña-Villaorduña United States
Chi Yuen Cheung China
Sonal Kumar United States
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Marcella

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Marcella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001149
2 200359
3 201759
4 201341
5
Ethnic and racial differences in prostate cancer incidence and mortality.
200037
6 200835
7 201028
8 201027
9 200123
10 201720
11 201817
12 201617
13 201217
14 201612
15 200710
16 20059
17 20168
18 20186
19 20116
20 20225

About Stephen Marcella

Stephen Marcella is a scholar working on Infectious Diseases, Epidemiology, Surgery, Critical Care and Intensive Care Medicine and General Health Professions, having authored 31 papers that have together received 604 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (10 papers), Microscopic Colitis (7 papers), Nosocomial Infections in ICU (5 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Antibiotic Resistance in Bacteria (4 papers), Antibiotic Use and Resistance (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Healthcare cost, quality, practices (3 papers). The work is most often cited by research in Infectious Diseases (142 citations), Oncology (177 citations), Critical Care and Intensive Care Medicine (30 citations), Epidemiology (169 citations) and Pulmonary and Respiratory Medicine (122 citations). Stephen Marcella has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jane Miller, Wendy L. Bennett, Yong Lin, Vimalanand S. Prabhu, Niyati Parekh, Grace L. Lu‐Yao, Andrew Farkas, G G Rhoads, Marcus Dörr and Kitaw Demissie. Their work appears in journals such as Open Forum Infectious Diseases, Value in Health, Clinical Infectious Diseases, The Science of The Total Environment and Medicine.

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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