Heidi Okamura

2.9k citations
17 papers · 2.4k indexed · 1 hit paper · h-index 12

Heidi Okamura

17 papers receiving 2.4k citations

Hit Papers

A dual-kinase mechanism for Wnt co-receptor phosphorylati...6502005202620122019200400600

Peers

Heidi Okamura
Comparison fields: 5 of 96
  • Molecular Biology 2.0k
  • Cell Biology 446
  • Immunology 375
  • Sensory Systems 84
  • Immunology and Allergy 83
Replace Peter Michaely with:
Peter Michaely United States
Karin Ridderstråle Sweden
Andreas Marquardt Germany
Peggy S. Zelenka United States
Noboru Ishiyama Canada
Thomas J. O’Neill United States
Franz‐Josef Johannes Germany
Eric A. Nalefski United States
J. Jillian Zhang United States
Michael A. Blanar United States
Heidi Okamura relative to Peter Michaely United States Peter Michaely's profile →
Citations per field
00.5×1.5×
Peter Michaely · 1×
Citations per year

Countries citing papers authored by Heidi Okamura

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Okamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20232
2 20158
3 20141
4 20102
5 2006305
6
A dual-kinase mechanism for Wnt co-receptor phosphorylation and activationbreakdown →
2005650
7 2004148
8 2003145
9 200120
10 2000381
11 199886
12 1998254
13 1997149
14 1995102
15 19953
16
Differential binding of pp60c-src and pp60v-src to cytoskeleton is mediated by SH2 and catalytic domains.
199432
17 1993117

About Heidi Okamura

Heidi Okamura is a scholar working on Cell Biology, Molecular Biology and Microbiology, having authored 17 papers that have together received 2.4k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (7 papers), Peptidase Inhibition and Analysis (3 papers), Heat shock proteins research (3 papers), Protein Structure and Dynamics (2 papers), Enzyme Structure and Function (2 papers), Glycosylation and Glycoproteins Research (1 paper), Skin and Cellular Biology Research (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (2.0k citations), Cell Biology (446 citations) and Immunology (375 citations). Heidi Okamura has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Patrick G. Hogan, Anjana Rao, Marilyn D. Resh, J. Aramburu, Anuradha S. Raghavan, James R. Woodgett, Keiko Tamai, Shitao Li, Xin Zeng and He Huang. Their work appears in journals such as Molecular Biology of the Cell, Journal of Biological Chemistry, Nature, Molecular Cell and Cancer Research.

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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