Jason Hatakeyama

1.9k citations
17 papers · 1.3k indexed · 1 hit paper · h-index 13
Topics
Hippo pathway signaling and YAP/TAZ (4 papers)Wnt/β-catenin signaling in development and cancer (4 papers)Cancer Cells and Metastasis (3 papers)

In The Last Decade

Jason Hatakeyama

17 papers receiving 1.3k citations

Hit Papers

CD24 signalling through macrophage Siglec-10 is a target ...20192026202120232019250500750

Peers

Jason Hatakeyama
Comparison fields: 5 of 92
  • Immunology 702
  • Molecular Biology 678
  • Oncology 390
  • Cancer Research 176
  • Cell Biology 101
Replace Maxim Markovic with:
Maxim Markovic United States
Magdalena Karbowniczek United States
Eva M. Garrido‐Martín Spain
Ai Sato Japan
Veronica Finisguerra Belgium
Yueyun Pan China
Oliver Dorigo United States
Ruben Bill Switzerland
Michela Croce Italy
Xianda Zhao United States
Jason Hatakeyama relative to Maxim Markovic United States Maxim Markovic's profile →
Citations per field
00.5×1.5×
Maxim Markovic · 1×
Citations per year

Countries citing papers authored by Jason Hatakeyama

Since Specialization
Citations

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

Fields of papers citing papers by Jason Hatakeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Hatakeyama

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 14
2 5
3 18
4
CD24 signalling through macrophage Siglec-10 is a target for cancer immunotherapybreakdown →
956
5 8
6 63
7 2
8 13
9 45
10 50
11 27
12 17
13 31
14 57
15 2
16 17
17 19

About Jason Hatakeyama

Jason Hatakeyama is a scholar working on Cell Biology, Physiology and Gastroenterology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Immunology (702 citations), Oncology (390 citations) and Cancer Research (176 citations). Jason Hatakeyama has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Oliver Dorigo, Amira Barkal, Venkatesh Krishnan, Irving L. Weissman, Balyn W. Zaro, Rachel Brewer, Mark Kowarsky, Layla J. Barkal, Maxim Markovic and Kermit L. Carraway. Their work appears in journals such as Nature, Cancer Research and Oncogene.

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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