Marcelo Low

24 papers receiving 1.1k citations

Marcelo Low's Hit Papers

Statins and the Risk of Colorectal Cancer 2005 · 630 citations
6300+7+14Years since publication200400600

Peers

Marcelo Low
Comparison fields: 5 of 100
  • Applied Microbiology and Biotechnology 77
  • Cancer Research 442
  • Pathology and Forensic Medicine 223
  • Oncology 268
  • Surgery 230
Replace Savita Verma with:
Savita Verma Canada
Roger Favre France
Feras Hawari Jordan
Ruiying Zheng China
Xiewan Chen China
Taek Won Kang South Korea
Aisling Hogan Ireland
M. A. Mangues Spain
Mohammed Alassiri Saudi Arabia
Xianghong Yang China
Marcelo Low relative to Savita Verma Canada Savita Verma's profile →
Citations per field
00.5×4.5×
Savita Verma · 1×
Citations per year

Countries citing papers authored by Marcelo Low

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Statins and the Risk of Colorectal Cancer
Hit paper breakdown →
2005630
2 2003204
3 199042
4 201938
5
Expressive writing as a presurgical stress management intervention for breast cancer patients.
200837
6 196033
7 201024
8 200823
9 201820
10 201717
11 201915
12 200515
13 199914
14 201812
15 201212
16 201411
17 20224
18 19943
19 19903
20 20243

About Marcelo Low

Marcelo Low is a scholar working on Applied Microbiology and Biotechnology, Epidemiology, Pharmacology, Social Psychology and Geriatrics and Gerontology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (8 papers), Urinary Tract Infections Management (2 papers), Chronic Disease Management Strategies (2 papers), Simulation-Based Education in Healthcare (1 paper), Mental Health via Writing (1 paper), Patient Satisfaction in Healthcare (1 paper), Hepatitis B Virus Studies (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (77 citations), Cancer Research (442 citations), Pathology and Forensic Medicine (223 citations), Oncology (268 citations) and Surgery (230 citations). Marcelo Low has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Ronit Almog, Stephen B. Gruber, Joseph D. Bonner, Joel K. Greenson, Gad Rennert, Hedy S. Rennert, Peter Higgins, Jenny N. Poynter, Ran D. Balicer and Philippe Trougouboff. Their work appears in journals such as Infection, Journal of General Internal Medicine, Clinical Microbiology and Infection, International Journal of Integrated Care and Population Health Management.

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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