Vicki E. Smith

2.4k citations
47 papers · 1.8k · h-index 24

Impact in

Papers in

Vicki E. Smith

45 papers receiving 1.8k citations

Peers

Vicki E. Smith
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 573
  • Infectious Diseases 567
  • Animal Science and Zoology 232
  • Hepatology 145
  • Reproductive Medicine 144
Replace Jon Askaa with:
Jon Askaa Denmark
F Kobayashi Japan
David M. Owen United States
Jun Inoue Japan
Margo C. Honeyman Australia
Rosalba Minisini Italy
Hans Diderholm Sweden
Shiro Iino Japan
Sukanta Das India
Christian B. Willberg United Kingdom
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Citations per field
00.5×10×16.4×
Jon Askaa · 1×
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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999189
2 2015149
3 2005147
4 1990131
5 1991124
6 2015106
7 200982
8 200658
9 200748
10 200748
11
ErbB2 overexpression in an ovarian cancer cell line confers sensitivity to the HSP90 inhibitor geldanamycin.
200246
12 200443
13 199743
14 200642
15 201041
16 201341
17 201140
18 201039
19 201937
20 199335

About Vicki E. Smith

Vicki E. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Oncology, Cancer Research and Molecular Biology, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (13 papers), Pituitary Gland Disorders and Treatments (11 papers), Thyroid Disorders and Treatments (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Cancer-related Molecular Pathways (5 papers), Bacterial Infections and Vaccines (3 papers) and Hepatitis Viruses Studies and Epidemiology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (573 citations), Infectious Diseases (567 citations), Animal Science and Zoology (232 citations), Hepatology (145 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, Robyn L. Ward, Kristien Boelaert, Jayne A. Franklyn, Richard L. Ward, Martin L. Read and David A. Sack. Their work appears in journals such as Cancer Research, The Journal of Infectious Diseases, Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Oncogene.

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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