Tina Izard

75 papers receiving 4.5k citations

Hit Papers

SARS-CoV-2 spike-protein D614G mutation increases virion spike density and infectivity 2020 · 662 citations
6622020202620222024200400600

Peers

Tina Izard
Comparison fields: 5 of 135
  • Immunology and Allergy 454
  • Cell Biology 1.2k
  • Infectious Diseases 714
  • Molecular Biology 2.2k
  • Neurology 181
Replace Isabelle Maridonneau‐Parini with:
Isabelle Maridonneau‐Parini France
Susan K. Pierce United States
Virgil L. Woods United States
Pierre A. Henkart United States
Stefan T. Arold Saudi Arabia
Anthony DeFranco United States
Daisuke Kohda Japan
Jean Pieters Switzerland
Martin S. Springer United States
Václav Hořejšı́ Czechia
Tina Izard relative to Isabelle Maridonneau‐Parini France Isabelle Maridonneau‐Parini's profile →
Citations per field
00.5×1.5×
Isabelle Maridonneau‐Parini · 1×
Citations per year

Countries citing papers authored by Tina Izard

Since Specialization
Citations

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

Fields of papers citing papers by Tina Izard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-CoV-2 spike-protein D614G mutation increases virion spike density and infectivity
Hit paper breakdown →
2020662
2
Cell adhesion in cancer: Beyond the migration of single cells
Hit paper breakdown →
2020418
3 2008345
4 2003207
5 1994203
6 2011188
7 2006148
8 2004139
9 1999138
10 2006109
11 199499
12 199999
13 201392
14 201788
15 200486
16 201882
17 201280
18 200578
19 201967
20 200666

About Tina Izard

Tina Izard is a scholar working on Immunology and Allergy, Cell Biology, Biophysics, Neurology and Endocrinology, having authored 75 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (28 papers), Cell Adhesion Molecules Research (13 papers), Enzyme Structure and Function (10 papers), RNA and protein synthesis mechanisms (9 papers), RNA Research and Splicing (8 papers), Cellular transport and secretion (8 papers), Neurological diseases and metabolism (7 papers) and Cardiomyopathy and Myosin Studies (6 papers). The work is most often cited by research in Immunology and Allergy (454 citations), Cell Biology (1.2k citations), Infectious Diseases (714 citations), Molecular Biology (2.2k citations) and Neurology (181 citations). Tina Izard has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Erumbi S. Rangarajan, Marina Candido Primi, Michalina Janiszewska, Philippe R.J. Bois, David T. Brown, Clemens Vonrhein, Robert A. Borgon, G. Bricogne, Michael C. Lawrence and Guy Tran Van Nhieu. Their work appears in journals such as Journal of Biological Chemistry, Protein Science, Proceedings of the National Academy of Sciences, The EMBO Journal and Journal of Molecular Biology.

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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