Timothy V. Updyke

495 total citations
7 papers, 423 citations indexed

About

Timothy V. Updyke is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Timothy V. Updyke has authored 7 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Timothy V. Updyke's work include Biotin and Related Studies (2 papers), S100 Proteins and Annexins (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Timothy V. Updyke is often cited by papers focused on Biotin and Related Studies (2 papers), S100 Proteins and Annexins (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Timothy V. Updyke collaborates with scholars based in United States and Canada. Timothy V. Updyke's co-authors include Garth L. Nicolson, Timothy J. Yeatman, Robert Tressler, M. A. Kaetzel, T. Yeatman, John Dedman, Robert S. Kerbel, M. Maamer, John T. Patton and David G. Menter and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Immunological Methods and Journal of Cellular Biochemistry.

In The Last Decade

Timothy V. Updyke

7 papers receiving 406 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Timothy V. Updyke United States 7 286 104 79 71 69 7 423
Wolfgang Gebhard Germany 14 399 1.4× 118 1.1× 41 0.5× 52 0.7× 74 1.1× 21 606
Minoru Fukuda United States 7 381 1.3× 128 1.2× 74 0.9× 120 1.7× 63 0.9× 7 611
Susan G. Schiffer United States 10 420 1.5× 126 1.2× 88 1.1× 141 2.0× 95 1.4× 12 563
T Yoneda Japan 8 453 1.6× 88 0.8× 144 1.8× 204 2.9× 123 1.8× 17 682
A. A. Karavanov United States 8 466 1.6× 144 1.4× 29 0.4× 41 0.6× 108 1.6× 12 638
Marina Kiso Japan 4 410 1.4× 77 0.7× 123 1.6× 182 2.6× 120 1.7× 5 577
Feodor Berdichevsky United Kingdom 9 243 0.8× 97 0.9× 79 1.0× 186 2.6× 206 3.0× 10 478
Elena A Feshchenko United States 12 379 1.3× 80 0.8× 49 0.6× 73 1.0× 114 1.7× 13 558
Marina Slepak United States 8 248 0.9× 110 1.1× 30 0.4× 172 2.4× 80 1.2× 8 487
Susan E. Heckford United States 8 316 1.1× 87 0.8× 56 0.7× 32 0.5× 211 3.1× 11 549

Countries citing papers authored by Timothy V. Updyke

Since Specialization
Citations

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

Fields of papers citing papers by Timothy V. Updyke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy V. Updyke. 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 Timothy V. Updyke. The network helps show where Timothy V. Updyke may publish in the future.

Co-authorship network of co-authors of Timothy V. Updyke

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy V. Updyke. A scholar is included among the top collaborators of Timothy V. Updyke 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 Timothy V. Updyke. Timothy V. Updyke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Tressler, Robert, Timothy V. Updyke, Timothy J. Yeatman, & Garth L. Nicolson. (1993). Extracellular annexin II is associated with divalent cation‐dependent tumor cell–endothelial cell adhesion of metastatic RAW117 large‐cell lymphoma cells. Journal of Cellular Biochemistry. 53(3). 265–276. 90 indexed citations
2.
Yeatman, T., Timothy V. Updyke, M. A. Kaetzel, John Dedman, & Garth L. Nicolson. (1993). Expression of annexins on the surfaces of non-metastatic and metastatic human and rodent tumor cells. Clinical & Experimental Metastasis. 11(1). 37–44. 90 indexed citations
3.
Menter, David G., John T. Patton, Timothy V. Updyke, et al.. (1991). Transglutaminase stabilizes melanoma adhesion under laminar flow. Cell Biophysics. 18(2). 123–143. 33 indexed citations
4.
Tomasovic, Stephen P., et al.. (1989). Co-isolation of heat stress and cytoskeletal proteins with plasma membrane proteins. International Journal of Hyperthermia. 5(2). 173–190. 16 indexed citations
5.
Updyke, Timothy V. & Garth L. Nicolson. (1986). [68] Immunoaffinity isolation of membrane antigens with biotinylated monoclonal antibodies and streptavidin-agarose. Methods in enzymology on CD-ROM/Methods in enzymology. 121. 717–725. 31 indexed citations
6.
Updyke, Timothy V. & Garth L. Nicolson. (1986). Malignant melanoma cell lines selected in vitro for increased homotypic adhesion properties have increased experimental metastatic potential. Clinical & Experimental Metastasis. 4(4). 273–284. 75 indexed citations
7.
Updyke, Timothy V. & Garth L. Nicolson. (1984). Immunoaffinity isolation of membrane antigens with biotinylated monoclonal antibodies and immobilized streptavidin matrices. Journal of Immunological Methods. 73(1). 83–95. 88 indexed citations

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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