Jonathan Tait

464 total citations
9 papers, 330 citations indexed

About

Jonathan Tait is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Jonathan Tait has authored 9 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Genetics. Recurrent topics in Jonathan Tait's work include Cell death mechanisms and regulation (3 papers), S100 Proteins and Annexins (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). Jonathan Tait is often cited by papers focused on Cell death mechanisms and regulation (3 papers), S100 Proteins and Annexins (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). Jonathan Tait collaborates with scholars based in United States, Australia and Japan. Jonathan Tait's co-authors include Alexei Bogdanov, Eyk Schellenberger, Dagmar Högemann, Ralph Weissleder, Lee Josephson, H. William Strausś, Francis G. Blankenberg, Kazuo Fujikawa, Katsuichi Ohtsuki and Christina Smith and has published in prestigious journals such as Thrombosis and Haemostasis, Handbook of experimental pharmacology and Journal of the National Comprehensive Cancer Network.

In The Last Decade

Jonathan Tait

9 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Tait United States 7 139 91 90 84 38 9 330
A. Wunder Germany 9 120 0.9× 115 1.3× 79 0.9× 96 1.1× 35 0.9× 23 380
So Jin Lee South Korea 4 200 1.4× 75 0.8× 81 0.9× 112 1.3× 23 0.6× 8 416
Ryuta Sato Japan 11 149 1.1× 81 0.9× 107 1.2× 55 0.7× 30 0.8× 25 385
Vivek R. Shinde Patil United States 8 128 0.9× 28 0.3× 76 0.8× 80 1.0× 61 1.6× 10 364
Alexander M. Harmon United States 9 315 2.3× 96 1.1× 104 1.2× 50 0.6× 18 0.5× 11 538
Juying Qian China 9 205 1.5× 40 0.4× 115 1.3× 110 1.3× 18 0.5× 16 423
Grace Cui United States 11 109 0.8× 24 0.3× 60 0.7× 85 1.0× 41 1.1× 17 281
Zachary Berman United States 10 110 0.8× 34 0.4× 109 1.2× 141 1.7× 22 0.6× 27 398
Hye-Yeong Kim United States 11 94 0.7× 48 0.5× 48 0.5× 90 1.1× 24 0.6× 16 361
Joseph G. Reynolds United States 7 191 1.4× 134 1.5× 196 2.2× 128 1.5× 33 0.9× 11 425

Countries citing papers authored by Jonathan Tait

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Tait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Tait. 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 Jonathan Tait. The network helps show where Jonathan Tait may publish in the future.

Co-authorship network of co-authors of Jonathan Tait

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

All Works

9 of 9 papers shown
1.
Kurzrock, Razelle, A. Dimitrios Colevas, Anthony J. Olszanski, et al.. (2015). NCCN Oncology Research Program's Investigator Steering Committee and NCCN Best Practices Committee Molecular Profiling Surveys. Journal of the National Comprehensive Cancer Network. 13(11). 1337–1346. 21 indexed citations
2.
Wong, Wilfred Hing Sang, A. Kidd, Jane Zuccollo, et al.. (2009). A Case of Amyoplasia in a Monochorionic Twin Pregnancy: A Sequela from Twin-Twin Transfusion Syndrome?. Fetal Diagnosis and Therapy. 25(1). 31–35. 7 indexed citations
3.
Strausś, H. William, Francis G. Blankenberg, Jean‐Luc Vanderheyden, & Jonathan Tait. (2008). Translational Imaging: Imaging of Apoptosis. Handbook of experimental pharmacology. 259–275. 10 indexed citations
4.
Smith, Christina, et al.. (2003). The preparation and phospholipid binding property of the C2 domain of human factor VIII. Thrombosis and Haemostasis. 89(5). 788–794. 40 indexed citations
5.
Schellenberger, Eyk, Alexei Bogdanov, Dagmar Högemann, et al.. (2002). Annexin V–CLIO: A Nanoparticle for Detecting Apoptosis by MRI. Molecular Imaging. 1(2). 102–7. 108 indexed citations
6.
Schellenberger, Eyk, Alexei Bogdanov, Dagmar Högemann, et al.. (2002). Annexin VCLIO: A Nanoparticle for Detecting Apoptosis by MRI. Molecular Imaging. 1(2). 102–107. 103 indexed citations
7.
Tait, Jonathan. (2001). E-MAIL MONITORING — II. Computer Law & Security Report. 17(2). 122–123. 1 indexed citations
8.
Blankenberg, Francis G., Jonathan Tait, Katsuichi Ohtsuki, & H. William Strausś. (2000). Apoptosis: The importance of nuclear medicine. Nuclear Medicine Communications. 21(3). 241–250. 39 indexed citations
9.
Reich, Theobald & Jonathan Tait. (1971). Chronic bronchocutaneous fistula in the dog: a method for construction.. PubMed. 69(6). 890–4. 1 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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