Tanya C. Burch

501 total citations
22 papers, 372 citations indexed

About

Tanya C. Burch is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Tanya C. Burch has authored 22 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Tanya C. Burch's work include Glycosylation and Glycoproteins Research (6 papers), Advanced Proteomics Techniques and Applications (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Tanya C. Burch is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Advanced Proteomics Techniques and Applications (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Tanya C. Burch collaborates with scholars based in United States, Canada and United Kingdom. Tanya C. Burch's co-authors include Julius O. Nyalwidhe, O. John Semmes, Jerry L. Nadler, Margaret A. Morris, Raymond S. Lance, Johng S. Rhim, Christopher J. Law, Dean A. Troyer, Jian Liu and Thomas W. Powers and has published in prestigious journals such as PLoS ONE, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Tanya C. Burch

22 papers receiving 368 citations

Peers

Tanya C. Burch
Comparison fields: 5 of 66
  • Molecular Biology 198
  • Genetics 78
  • Cell Biology 70
  • Surgery 68
  • Immunology 59
Replace Soon H. Kim with:
Soon H. Kim United States
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Marlena Duchniewicz Germany
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Karin Ivarsson Sweden
Deep Pandya United States
M S Saedi United States
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Soon H. Kim United States View profile →
Citations per field, relative to Tanya C. Burch
Tanya C. Burch · 1×
Citations per year, relative to Tanya C. Burch
Tanya C. Burch · 1×

Countries citing papers authored by Tanya C. Burch

Since Specialization
Citations

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

Fields of papers citing papers by Tanya C. Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanya C. Burch. 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 Tanya C. Burch. The network helps show where Tanya C. Burch may publish in the future.

Co-authorship network of co-authors of Tanya C. Burch

This figure shows the co-authorship network connecting the top 25 collaborators of Tanya C. Burch. A scholar is included among the top collaborators of Tanya C. Burch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tanya C. Burch. Tanya C. Burch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 4
4 1
5 24
6 18
7 17
8 10
9 22
10 22
11 1
12 3
13 54
14 41
15 7
16 25
17 27
18 13
19 11
20
Survival patterns from large bowel cancer in Hawaii.
2

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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