Tracy‐Ann Read

37 papers receiving 2.7k citations

Peers

Tracy‐Ann Read
Comparison fields: 5 of 107
  • Developmental Neuroscience 321
  • Genetics 823
  • Cancer Research 469
  • Molecular Biology 1.7k
  • Oncology 643
Replace Hugo Guerrero‐Cazares with:
Hugo Guerrero‐Cazares United States
Yonehiro Kanemura Japan
Helen Poppleton United States
Takumi Era Japan
Kazuhiko Kurozumi Japan
Ugo Orfanelli Italy
Joseph Najbauer United States
Loic P. Deleyrolle United States
Barbara Cipelletti Italy
Per Øystein Sakariassen Norway
Tracy‐Ann Read relative to Hugo Guerrero‐Cazares United States Hugo Guerrero‐Cazares's profile →
Citations per field
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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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008470
2 2005366
3 2009279
4 2001239
5 2012211
6 2006195
7 2005187
8 2003131
9 201880
10
Intravital microscopy reveals novel antivascular and antitumor effects of endostatin delivered locally by alginate-encapsulated cells.
200167
11 200261
12 199951
13 199945
14 202042
15 200239
16 200637
17 200036
18 201832
19 201224
20 200323

About Tracy‐Ann Read

Tracy‐Ann Read is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Cancer Research, having authored 39 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (7 papers), Cellular Mechanics and Interactions (7 papers), Glioma Diagnosis and Treatment (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Pancreatic function and diabetes (4 papers), Cell Image Analysis Techniques (4 papers), Cell Adhesion Molecules Research (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Developmental Neuroscience (321 citations), Genetics (823 citations), Cancer Research (469 citations), Molecular Biology (1.7k citations) and Oncology (643 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, Roger E. McLendon, Denis Corbeil, Jane E. Johnson, Constanze Kaiser and Wieland Β. Huttner. Their work appears in journals such as Cancer Cell, Neuro-Oncology, International Journal of Cancer, Acta Neuropathologica 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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