Tomohiro Iba

816 total citations
17 papers, 595 citations indexed

About

Tomohiro Iba is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Tomohiro Iba has authored 17 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cell Biology and 6 papers in Cancer Research. Recurrent topics in Tomohiro Iba's work include Angiogenesis and VEGF in Cancer (8 papers), Zebrafish Biomedical Research Applications (6 papers) and Congenital heart defects research (3 papers). Tomohiro Iba is often cited by papers focused on Angiogenesis and VEGF in Cancer (8 papers), Zebrafish Biomedical Research Applications (6 papers) and Congenital heart defects research (3 papers). Tomohiro Iba collaborates with scholars based in Japan, United States and South Korea. Tomohiro Iba's co-authors include Nobuyuki Takakura, Hisamichi Naito, Taku Wakabayashi, Fumitaka Muramatsu, Hiroyasu Kidoya, Kazuhiro Takara, Keitaro Yamane, Mervin C. Yöder, Kohji Nishida and Masaaki Furuno and has published in prestigious journals such as Cancer Research, Scientific Reports and Nature Protocols.

In The Last Decade

Tomohiro Iba

17 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomohiro Iba Japan 10 389 145 105 94 90 17 595
Eric Fogel United States 12 397 1.0× 114 0.8× 82 0.8× 64 0.7× 61 0.7× 16 556
Jui M. Dave United States 13 414 1.1× 121 0.8× 99 0.9× 130 1.4× 61 0.7× 19 731
Alessandro Scopece Italy 15 457 1.2× 180 1.2× 61 0.6× 62 0.7× 72 0.8× 20 815
Young Shin Ryu South Korea 10 628 1.6× 126 0.9× 67 0.6× 80 0.9× 97 1.1× 14 869
Fumitaka Muramatsu Japan 15 458 1.2× 185 1.3× 137 1.3× 95 1.0× 151 1.7× 23 809
Maarten M. Brandt Netherlands 17 280 0.7× 117 0.8× 109 1.0× 36 0.4× 82 0.9× 22 674
Nathaniel G. dela Paz United States 11 364 0.9× 95 0.7× 101 1.0× 148 1.6× 67 0.7× 12 767
Yun Hyun Huh South Korea 17 350 0.9× 191 1.3× 82 0.8× 75 0.8× 98 1.1× 29 705
Jun‐ichi Suehiro Japan 13 346 0.9× 88 0.6× 80 0.8× 41 0.4× 101 1.1× 22 526
Sonja Mertsch Germany 18 299 0.8× 57 0.4× 47 0.4× 77 0.8× 74 0.8× 39 756

Countries citing papers authored by Tomohiro Iba

Since Specialization
Citations

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

Fields of papers citing papers by Tomohiro Iba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiro Iba

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Iba. A scholar is included among the top collaborators of Tomohiro Iba 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 Tomohiro Iba. Tomohiro Iba 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
1.
Kohno, Susumu, Tomohiro Iba, Ryo Miyazaki, et al.. (2026). Bmal1 regulates thermogenic function by modulation of lipolytic and oxidative phosphorylation gene expression in male mice brown adipocytes. Endocrinology. 167(4). 1 indexed citations
2.
Morishige, Jun‐ichi, Naoto Nagata, Yifan Shi, et al.. (2024). Exenatide administration time-dependently affects the hepatic circadian clock through glucagon-like peptide-1 receptors in the central nervous system. Biochemical Pharmacology. 230(Pt 1). 116567–116567. 1 indexed citations
3.
Iba, Tomohiro, et al.. (2023). Single-cell sequencing reveals the existence of fetal vascular endothelial stem cell-like cells in mouse liver. Stem Cell Research & Therapy. 14(1). 227–227. 3 indexed citations
4.
Iba, Tomohiro, Hisamichi Naito, Jun‐ichi Morishige, et al.. (2023). L-carnitine prevents lenvatinib-induced muscle toxicity without impairment of the anti-angiogenic efficacy. Frontiers in Pharmacology. 14. 1182788–1182788. 1 indexed citations
5.
Shimizu, Shota, Tomohiro Iba, Hisamichi Naito, et al.. (2023). Aging impairs the ability of vascular endothelial stem cells to generate endothelial cells in mice. Angiogenesis. 26(4). 567–580. 9 indexed citations
6.
Wakabayashi, Taku, Hisamichi Naito, Tomohiro Iba, Kohji Nishida, & Nobuyuki Takakura. (2022). Identification of CD157-Positive Vascular Endothelial Stem Cells in Mouse Retinal and Choroidal Vessels: Fluorescence-Activated Cell Sorting Analysis. Investigative Ophthalmology & Visual Science. 63(4). 5–5. 7 indexed citations
7.
Muramatsu, Fumitaka, Yumiko Hayashi, Hang Su, et al.. (2021). An in vivo model allowing continuous observation of human vascular formation in the same animal over time. Scientific Reports. 11(1). 745–745. 8 indexed citations
8.
Naito, Hisamichi, Taku Wakabayashi, Tomohiro Iba, et al.. (2020). Isolation of tissue-resident vascular endothelial stem cells from mouse liver. Nature Protocols. 15(3). 1066–1081. 17 indexed citations
9.
Naito, Hisamichi, Tomohiro Iba, & Nobuyuki Takakura. (2020). Mechanisms of new blood-vessel formation and proliferative heterogeneity of endothelial cells. International Immunology. 32(5). 295–305. 178 indexed citations
10.
Naito, Hisamichi, Tomohiro Iba, Taku Wakabayashi, et al.. (2019). TAK1 Prevents Endothelial Apoptosis and Maintains Vascular Integrity. Developmental Cell. 48(2). 151–166.e7. 28 indexed citations
11.
Iba, Tomohiro, et al.. (2019). Isolation of tissue-resident endothelial stem cells and their use in regenerative medicine. Inflammation and Regeneration. 39(1). 9–9. 14 indexed citations
12.
Naito, Hisamichi, Yonehiro Kanemura, Tomohiro Iba, et al.. (2018). LPA4-Mediated Vascular Network Formation Increases the Efficacy of Anti–PD-1 Therapy against Brain Tumors. Cancer Research. 78(23). 6607–6620. 33 indexed citations
13.
Wakabayashi, Taku, Hisamichi Naito, Yang Lin, et al.. (2018). CD157 Marks Tissue-Resident Endothelial Stem Cells with Homeostatic and Regenerative Properties. Cell stem cell. 22(3). 384–397.e6. 141 indexed citations
14.
Takara, Kazuhiro, Koji Ando, Daisuke Yasuda, et al.. (2017). Lysophosphatidic Acid Receptor 4 Activation Augments Drug Delivery in Tumors by Tightening Endothelial Cell-Cell Contact. Cell Reports. 20(9). 2072–2086. 40 indexed citations
15.
Muramatsu, Fumitaka, Hiroyasu Kidoya, Hisamichi Naito, et al.. (2017). Plakoglobin maintains the integrity of vascular endothelial cell junctions and regulates VEGF-induced phosphorylation of VE-cadherin. The Journal of Biochemistry. 162(1). 55–62. 17 indexed citations
16.
Naito, Hisamichi, Taku Wakabayashi, Hiroyasu Kidoya, et al.. (2016). Endothelial Side Population Cells Contribute to Tumor Angiogenesis and Antiangiogenic Drug Resistance. Cancer Research. 76(11). 3200–3210. 67 indexed citations
17.
Yamane, Keitaro, Hisamichi Naito, Taku Wakabayashi, et al.. (2016). Regulation of SLD5 gene expression by miR-370 during acute growth of cancer cells. Scientific Reports. 6(1). 30941–30941. 30 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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