Tracy‐Ann Read

3.8k citations
37 papers · 2.9k · h-index 20

Impact in

Papers in

Tracy‐Ann Read

36 papers receiving 2.9k citations

Peers

Tracy‐Ann Read
Comparison fields: 5 of 103
  • Developmental Neuroscience 342
  • Genetics 803
  • Cancer Research 440
  • Molecular Biology 1.8k
  • Oncology 617
Replace Hugo Guerrero‐Cazares with:
Hugo Guerrero‐Cazares United States
Lene Uhrbom Sweden
Kazuhiko Kurozumi Japan
Helen Poppleton United States
Joseph Najbauer United States
Ugo Orfanelli Italy
Karin Forsberg‐Nilsson Sweden
Loic P. Deleyrolle United States
Nils Ole Schmidt Germany
Barbara Cipelletti Italy
Tracy‐Ann Read relative to Hugo Guerrero‐Cazares United States Hugo Guerrero‐Cazares's profile →
Citations per field
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Hugo Guerrero‐Cazares · 1×
Citations per year

Countries citing papers authored by Tracy‐Ann Read

Since Specialization
Citations

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

Fields of papers citing papers by Tracy‐Ann Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracy‐Ann Read. 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 Tracy‐Ann Read. The network helps show where Tracy‐Ann Read may publish in the future.

Co-authors

The 25 scholars most cited alongside Tracy‐Ann Read, 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 Tracy‐Ann Read Line = papers co-authored together Tracy‐Ann Read links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008499
2 2005399
3 2009308
4 2001262
5 2012222
6 2006200
7 2005194
8 2003147
9 201882
10
Intravital microscopy reveals novel antivascular and antitumor effects of endostatin delivered locally by alginate-encapsulated cells.
200174
11 200265
12 199953
13 199951
14 200646
15 202045
16 200240
17 200039
18 201832
19 200328
20 200125

About Tracy‐Ann Read

Tracy‐Ann Read is a scholar working on Molecular Biology, Cell Biology, Genetics, Cancer Research and Surgery, having authored 37 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (7 papers), Glioma Diagnosis and Treatment (7 papers), Hedgehog Signaling Pathway Studies (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Cancer Cells and Metastasis (4 papers), Cell Image Analysis Techniques (4 papers) and Angiogenesis and VEGF in Cancer (4 papers). The work is most often cited by research in Developmental Neuroscience (342 citations), Genetics (803 citations), Cancer Research (440 citations), Molecular Biology (1.8k citations) and Oncology (617 citations). Tracy‐Ann Read has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include Robert J. Wechsler‐Reya, Jessica D. Kessler, Rolf Bjerkvig, Shirley L. Markant, Rupavathana Mahesparan, Phillip G. Febbo, Roger E. McLendon, Jane E. Johnson, Denis Corbeil and Constanze Kaiser. Their work appears in journals such as Cancer Cell, Neuro-Oncology, International Journal of Cancer, Neuropathology and Applied Neurobiology and Journal of Cell Science.

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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