M.T. Sweeney

14 papers receiving 525 citations

Peers

M.T. Sweeney
Comparison fields: 5 of 91
  • Microbiology 217
  • Psychiatry and Mental health 200
  • Molecular Medicine 56
  • Endocrinology, Diabetes and Metabolism 168
  • Urology 57
Replace Zhenpeng Li with:
Zhenpeng Li China
Lee Riley United States
Jaspreet Kaur Boparai India
Véronique Robert France
Gaetano Bruno Costa Italy
Helen J. Stacey United Kingdom
Janusz Kocik Poland
Jennifer J. Brown United States
Gustavo Bracho Cuba
Gabrielle O’Kane Australia
M.T. Sweeney relative to Zhenpeng Li China Zhenpeng Li's profile →
Citations per field
00.5×10×15×20×24.1×
Zhenpeng Li · 1×
Citations per year

Countries citing papers authored by M.T. Sweeney

Since Specialization
Citations

This map shows the geographic impact of M.T. Sweeney'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 M.T. Sweeney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Sweeney more than expected).

Fields of papers citing papers by M.T. Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.T. Sweeney. 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 M.T. Sweeney. The network helps show where M.T. Sweeney may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2001120
2 2011111
3 201189
4 200366
5 201456
6 199154
7 200018
8 200316
9
Identification of Porphyromonas levii isolated from clinical cases of bovine interdigital necrobacillosis by 16S rRNA sequencing.
200916
10 19928
11 19847
12 20245
13
Management information systems in job shops : design of interfaces
19971
14 20191

About M.T. Sweeney

M.T. Sweeney is a scholar working on Clinical Psychology, Microbiology, Psychiatry and Mental health, Endocrinology, Diabetes and Metabolism and Plant Science, having authored 14 papers that have together received 568 indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (4 papers), Sexuality, Behavior, and Technology (4 papers), Microbial infections and disease research (4 papers), Hormonal and reproductive studies (3 papers), Plant Pathogenic Bacteria Studies (2 papers), Plant Disease Resistance and Genetics (1 paper), Online and Blended Learning (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Microbiology (217 citations), Psychiatry and Mental health (200 citations), Molecular Medicine (56 citations), Endocrinology, Diabetes and Metabolism (168 citations) and Urology (57 citations). M.T. Sweeney has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Dan Ziegler, A. J. M. Boulton, J. L. Selam, Jeffrey L. Watts, Kristina Kadlec, Rolf Daniel, Robert W. Murray, Heiko Liesegang, Štefan Schwarz and Elżbieta Brzuszkiewicz. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, International Journal of Impotence Research, Urology, The Journal of Urology and International Journal of Information 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.

Explore authors with similar magnitude of impact