Susan E. Sharp

81 papers receiving 2.1k citations

Peers

Susan E. Sharp
Comparison fields: 5 of 106
  • Clinical Biochemistry 204
  • Applied Microbiology and Biotechnology 64
  • Infectious Diseases 499
  • Neurology 313
  • Health Informatics 53
Replace Min Jae Kim with:
Min Jae Kim South Korea
Jiwon Jung South Korea
Kevin Messacar United States
Nicolas Lefèbvre France
Veroniek Saegeman Belgium
Maxine Caws United Kingdom
John C. Hartley United Kingdom
Justin P. Hardick United States
Mao‐Wang Ho Taiwan
Myrsini Kaforou United Kingdom
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Citations per field
00.5×2×4×6×8.8×
Min Jae Kim · 1×
Citations per year

Countries citing papers authored by Susan E. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Susan E. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan E. Sharp. 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 Susan E. Sharp. The network helps show where Susan E. Sharp may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011206
2 2009145
3 2016135
4 2018123
5 2010122
6 1998104
7 200789
8 201979
9 201170
10 200166
11 202164
12 201462
13 201754
14 202047
15 201646
16 199342
17 199139
18 201539
19 199038
20 201335

About Susan E. Sharp

Susan E. Sharp is a scholar working on Clinical Biochemistry, Neurology, Radiology, Nuclear Medicine and Imaging, Endocrinology and Physiology, having authored 85 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (20 papers), Neuroblastoma Research and Treatments (10 papers), Medical Imaging Techniques and Applications (8 papers), Clinical Laboratory Practices and Quality Control (7 papers), Sarcoma Diagnosis and Treatment (5 papers), Infections and bacterial resistance (5 papers), Radiation Dose and Imaging (4 papers) and Health and Medical Research Impacts (3 papers). The work is most often cited by research in Clinical Biochemistry (204 citations), Applied Microbiology and Biotechnology (64 citations), Infectious Diseases (499 citations), Neurology (313 citations) and Health Informatics (53 citations). Susan E. Sharp has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael J. Gelfand, Barry Lynn Shulkin, Andrew T. Trout, Brian Weiss, Susan M. Novak-Weekley, Robert Poppiti, Kenneth R. Ratzan, Wayne Lee Furman, Shelia R. Salisbury and Mark Pandori. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Journal of Nuclear Medicine, Radiographics and Pediatric Blood & Cancer.

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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