Jun Ooehara

1.4k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Jun Ooehara is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Jun Ooehara has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 5 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Jun Ooehara's work include Hematopoietic Stem Cell Transplantation (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Jun Ooehara is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Jun Ooehara collaborates with scholars based in Japan, United States and Guatemala. Jun Ooehara's co-authors include Hiromitsu Nakauchi, Hideo Ema, Yohei Morita, Ryō Yamamoto, Sanae Hamanaka, Masafumi Onodera, K. Lenhard Rudolph, Jonathan K. Pritchard, Xun Lan and Chen‐Yi Lai and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Jun Ooehara

8 papers receiving 1.0k citations

Hit Papers

Clonal Analysis Unveils Self-Renewing Lineage-Restricted ... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Ooehara Japan 8 594 466 412 170 142 8 1.0k
Amir Schajnovitz United States 10 461 0.8× 332 0.7× 420 1.0× 209 1.2× 188 1.3× 20 1.0k
Anne Hultquist Sweden 10 700 1.2× 718 1.5× 589 1.4× 160 0.9× 146 1.0× 13 1.4k
Karina Liuba Sweden 6 785 1.3× 782 1.7× 629 1.5× 200 1.2× 192 1.4× 11 1.6k
Yumiko Gomei Japan 12 803 1.4× 363 0.8× 328 0.8× 402 2.4× 205 1.4× 14 1.2k
Stéphane J.C. Mancini France 18 393 0.7× 708 1.5× 834 2.0× 137 0.8× 300 2.1× 36 1.6k
Alexis Dumortier Switzerland 8 297 0.5× 318 0.7× 549 1.3× 105 0.6× 146 1.0× 8 1.0k
Paula B. van Hennik Netherlands 18 330 0.6× 243 0.5× 426 1.0× 167 1.0× 200 1.4× 35 935
Catherine E. Forristal Australia 11 441 0.7× 297 0.6× 479 1.2× 220 1.3× 191 1.3× 16 1.1k
Philippe Brunet de la Grange France 14 449 0.8× 213 0.5× 294 0.7× 270 1.6× 135 1.0× 38 838
Ulrika Blank Sweden 13 484 0.8× 176 0.4× 671 1.6× 235 1.4× 146 1.0× 23 1.1k

Countries citing papers authored by Jun Ooehara

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ooehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ooehara

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

All Works

8 of 8 papers shown
1.
Zhang, Shanshan, Maiko Morita, Jun Ooehara, et al.. (2019). Interleukin-12 supports in vitro self-renewal of long-term hematopoietic stem cells. SHILAP Revista de lepidopterología. 1(1). 92–101. 8 indexed citations
2.
Yamamoto, Ryō, Adam C. Wilkinson, Jun Ooehara, et al.. (2018). Large-Scale Clonal Analysis Resolves Aging of the Mouse Hematopoietic Stem Cell Compartment. Cell stem cell. 22(4). 600–607.e4. 141 indexed citations
3.
Hamanaka, Sanae, Jun Ooehara, Yohei Morita, et al.. (2013). Generation of transgenic mouse line expressing Kusabira Orange throughout body, including erythrocytes, by random segregation of provirus method. Biochemical and Biophysical Research Communications. 435(4). 586–591. 22 indexed citations
4.
Yamamoto, Ryō, Yohei Morita, Jun Ooehara, et al.. (2013). Clonal Analysis Unveils Self-Renewing Lineage-Restricted Progenitors Generated Directly from Hematopoietic Stem Cells. Cell. 154(5). 1112–1126. 499 indexed citations breakdown →
5.
Nishimura, Satoshi, Ichiro Manabe, Masao Nagasaki, et al.. (2011). In vivo imaging visualizes discoid platelet aggregations without endothelium disruption and implicates contribution of inflammatory cytokine and integrin signaling. Blood. 119(8). e45–e56. 55 indexed citations
6.
Murakami, Masato, Yujuan Zheng, Masanori Hirashima, et al.. (2008). VEGFR1 Tyrosine Kinase Signaling Promotes Lymphangiogenesis as Well as Angiogenesis Indirectly via Macrophage Recruitment. Arteriosclerosis Thrombosis and Vascular Biology. 28(4). 658–664. 120 indexed citations
7.
Seita, Jun, Hideo Ema, Jun Ooehara, et al.. (2007). Lnk negatively regulates self-renewal of hematopoietic stem cells by modifying thrombopoietin-mediated signal transduction. Proceedings of the National Academy of Sciences. 104(7). 2349–2354. 114 indexed citations
8.
Seita, Jun, Masayuki Asakawa, Jun Ooehara, et al.. (2007). Interleukin-27 directly induces differentiation in hematopoietic stem cells. Blood. 111(4). 1903–1912. 73 indexed citations

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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