Starlette M. Sharp

517 citations
9 papers · 445 · h-index 6

Impact in

Papers in

    • Education and Critical Thinking Development 2
    • Innovative Teaching Methods 1
    • Educational Assessment and Pedagogy 1
    • Science Education and Pedagogy 1

Starlette M. Sharp

9 papers receiving 428 citations

Peers

Starlette M. Sharp
Comparison fields: 5 of 91
  • Transplantation 146
  • Safety Research 29
  • Nephrology 20
  • Immunology 52
  • Surgery 93
Replace Asha B. Pillai with:
Asha B. Pillai United States
Birgitta Nilsson Sojka Sweden
Zhengyu Li China
Zachary Scott United States
Tania Nicole Masmas Denmark
Joachim Kuck Germany
Isabel Tavares Portugal
Irene Andersen Denmark
E. Colin Koon United States
Starlette M. Sharp relative to Asha B. Pillai United States Asha B. Pillai's profile →
Citations per field
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Asha B. Pillai · 1×
Citations per year

Countries citing papers authored by Starlette M. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Starlette M. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2004262
2 201962
3 201033
4 200929
5 201027
6 201226
7 20202
8 20212
9 20242

About Starlette M. Sharp

Starlette M. Sharp is a scholar working on Education, Microbiology, Information Systems and Management, Safety Research and Cancer Research, having authored 9 papers that have together received 445 indexed citations. Recurring topics across this work include Education and Critical Thinking Development (2 papers), Prostate Cancer Treatment and Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Innovative Teaching Methods (1 paper), Cancer Cells and Metastasis (1 paper), Educational Assessment and Pedagogy (1 paper), Gene expression and cancer classification (1 paper) and Science Education and Pedagogy (1 paper). The work is most often cited by research in Transplantation (146 citations), Safety Research (29 citations), Nephrology (20 citations), Immunology (52 citations) and Surgery (93 citations). Starlette M. Sharp has collaborated with scholars based in United States, Canada and Puerto Rico. Frequent co-authors include Daniel R. Salomon, Steve Horvath, Tony S. Mondala, Sunil M. Kurian, John R. Walker, Timothy J. Gilmartin, Thomas C. Whisenant, Steven Robert Head, Jie Zhang and Stuart M. Flechner. Their work appears in journals such as School Science and Mathematics, Journal of Oncology, Cell Regeneration, Molecular Cancer and Science.

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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