Vicki E. Smith

2.4k citations
46 papers · 1.7k · h-index 24

Impact in

Papers in

Vicki E. Smith

45 papers receiving 1.7k citations

Peers

Vicki E. Smith
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 539
  • Infectious Diseases 534
  • Animal Science and Zoology 238
  • Hepatology 168
  • Reproductive Medicine 144
Replace Jon Askaa with:
Jon Askaa Denmark
F Kobayashi Japan
David M. Owen United States
Rosalba Minisini Italy
Sukanta Das India
Martine Olivi France
Daniela Finke Switzerland
Takeshi Sato Japan
G. Hossein Ashrafi United Kingdom
Christian B. Willberg United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Vicki E. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Vicki E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999176
2 2015135
3 2005134
4 1990117
5 1991113
6 201599
7 200979
8 200656
9 200747
10 200746
11
ErbB2 overexpression in an ovarian cancer cell line confers sensitivity to the HSP90 inhibitor geldanamycin.
200244
12 201041
13 201140
14 200439
15 201339
16 200638
17 201038
18 199335
19 199735
20 201934

About Vicki E. Smith

Vicki E. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Infectious Diseases, Oncology and Cancer Research, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (12 papers), Pituitary Gland Disorders and Treatments (11 papers), Thyroid Disorders and Treatments (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Cancer-related Molecular Pathways (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Animal Virus Infections Studies (4 papers) and Hepatitis Viruses Studies and Epidemiology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (539 citations), Infectious Diseases (534 citations), Animal Science and Zoology (238 citations), Hepatology (168 citations) and Reproductive Medicine (144 citations). Vicki E. Smith has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David I. Bernstein, Christopher J. McCabe, D. S. Sander, Gilbert M. Schiff, Kristien Boelaert, Robyn L. Ward, Jayne A. Franklyn, Richard L. Ward, Martin L. Read and John Watkinson. Their work appears in journals such as Cancer Research, The Journal of Infectious Diseases, Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Avian Diseases.

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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