Alan B. Tuck

75 papers receiving 4.3k citations

Peers

Alan B. Tuck
Comparison fields: 5 of 107
  • Rheumatology 1.6k
  • Cancer Research 930
  • Oncology 1.3k
  • Oral Surgery 312
  • Biotechnology 354
Replace Sylvia M. Wilson with:
Sylvia M. Wilson Canada
Elena Tamborini Italy
Maria Cristina Manara Italy
Jütta Lüttges Germany
Noriyoshi Fukushima Japan
Heinrich Kovar Austria
Rastko Golouh Slovenia
Marija Drobnjak United States
V Castronovo Belgium
Alexander Quaas Germany
Alan B. Tuck relative to Sylvia M. Wilson Canada Sylvia M. Wilson's profile →
Citations per field
00.5×3.2×
Sylvia M. Wilson · 1×
Citations per year

Countries citing papers authored by Alan B. Tuck

Since Specialization
Citations

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

Fields of papers citing papers by Alan B. Tuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan B. Tuck. 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 Alan B. Tuck. The network helps show where Alan B. Tuck may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Elevated plasma osteopontin in metastatic breast cancer associated with increased tumor burden and decreased survival.
1997260
2
Coexpression of hepatocyte growth factor and receptor (Met) in human breast carcinoma.
1996217
3 1998199
4 2001194
5 1999173
6 2010166
7 2006139
8 2007128
9 2001125
10 2000121
11 2003116
12 2000116
13 2007115
14
Ras-responsive genes and tumor metastasis.
1993113
15 201199
16
Osteopontin and p53 expression are associated with tumor progression in a case of synchronous, bilateral, invasive mammary carcinomas.
199794
17 200591
18 200687
19 200585
20 200583

About Alan B. Tuck

Alan B. Tuck is a scholar working on Molecular Biology, Rheumatology, Oncology, Cancer Research and Genetics, having authored 77 papers that have together received 4.4k indexed citations. Recurring topics across this work include Bone and Dental Protein Studies (35 papers), dental development and anomalies (13 papers), Breast Cancer Treatment Studies (12 papers), Cancer Cells and Metastasis (12 papers), Oral and Maxillofacial Pathology (10 papers), Digestive system and related health (6 papers), Bone health and treatments (5 papers) and Protease and Inhibitor Mechanisms (5 papers). The work is most often cited by research in Rheumatology (1.6k citations), Cancer Research (930 citations), Oncology (1.3k citations), Oral Surgery (312 citations) and Biotechnology (354 citations). Alan B. Tuck has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Ann F. Chambers, Sylvia M. Wilson, Alison L. Allan, Sharon A. Vantyghem, Charulata Hota, Pieter H. Anborgh, Katia Tonkin, John F. Harris, Hemant Singhal and Vivien Bramwell. Their work appears in journals such as Clinical & Experimental Metastasis, Breast Cancer Research and Treatment, Oncogene, Breast Cancer Research and Laboratory Investigation.

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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