Stephen Marcella

776 citations
31 papers · 625 · h-index 14

Impact in

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

Papers in

Stephen Marcella

30 papers receiving 605 citations

Peers

Stephen Marcella
Comparison fields: 5 of 88
  • Infectious Diseases 136
  • Oncology 122
  • Critical Care and Intensive Care Medicine 17
  • Epidemiology 104
  • Pulmonary and Respiratory Medicine 93
Replace Samir Ahid with:
Samir Ahid Morocco
Mary Killackey United States
Andrea Szentesi Hungary
Jiling Zhu China
Elena Schievano Italy
Yousaf Hadi United States
Akash Shukla India
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Atul Sharma India
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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 2001152
2 201760
3 200360
4 201343
5
Ethnic and racial differences in prostate cancer incidence and mortality.
200041
6 200835
7 201029
8 201028
9 200124
10 201720
11 201219
12 201617
13 201817
14 201613
15 200511
16 200710
17 20168
18 20186
19 20226
20 20116

About Stephen Marcella

Stephen Marcella is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine, Epidemiology, Pulmonary and Respiratory Medicine and Applied Microbiology and Biotechnology, having authored 31 papers that have together received 625 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (9 papers), Nosocomial Infections in ICU (5 papers), Antibiotic Use and Resistance (4 papers), Microscopic Colitis (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Antibiotic Resistance in Bacteria (3 papers), Healthcare cost, quality, practices (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Infectious Diseases (136 citations), Oncology (122 citations), Critical Care and Intensive Care Medicine (17 citations), Epidemiology (104 citations) and Pulmonary and Respiratory Medicine (93 citations). Stephen Marcella has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jane Miller, Wendy L. Bennett, Andrew Farkas, G G Rhoads, Vimalanand S. Prabhu, Grace L. Lu‐Yao, Yong Lin, Niyati Parekh, Erik R. Dubberke and Kitaw Demissie. Their work appears in journals such as Open Forum Infectious Diseases, Value in Health, Clinical Infectious Diseases, Journal of Physics D Applied Physics and Cancer Epidemiology Biomarkers & Prevention.

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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