Motonari Kondo

10.7k total citations · 6 hit papers
78 papers, 8.4k citations indexed

About

Motonari Kondo is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Motonari Kondo has authored 78 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Immunology, 16 papers in Oncology and 16 papers in Hematology. Recurrent topics in Motonari Kondo's work include T-cell and B-cell Immunology (38 papers), Immune Cell Function and Interaction (37 papers) and Immunotherapy and Immune Responses (19 papers). Motonari Kondo is often cited by papers focused on T-cell and B-cell Immunology (38 papers), Immune Cell Function and Interaction (37 papers) and Immunotherapy and Immune Responses (19 papers). Motonari Kondo collaborates with scholars based in United States, Japan and France. Motonari Kondo's co-authors include Irving L. Weissman, Koichi Akashi, Kazuo Sugamura, Masataka Nakamura, Toshikazu Takeshita, Anne Y. Lai, Naoto Ishii, Garnett Kelsoe, David C. Scherer and Irving L Weissman and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Motonari Kondo

76 papers receiving 8.2k citations

Hit Papers

Identification of Clonogenic Common Lymphoid Progenitors ... 1993 2026 2004 2015 1997 2003 1993 1997 2017 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of Clonogenic Common Lymphoid Progenitors in Mouse Bone Marrow
    1997 1.6k citations Motonari Kondo, Irving L. Weissman et al. Cell profile →
  2. Biology of Hematopoietic Stem Cells and Progenitors: Implications for Clinical Application
    2003 724 citations Motonari Kondo, Markus G. Manz et al. profile →
  3. Sharing of the Interleukin-2 (IL-2) Receptor γ Chain Between Receptors for IL-2 and IL-4
    1993 636 citations Motonari Kondo, Toshikazu Takeshita et al. profile →
  4. Bcl-2 Rescues T Lymphopoiesis in Interleukin-7 Receptor–Deficient Mice
    1997 504 citations Motonari Kondo, Ursula von Freeden-Jeffry et al. Cell profile →
  5. The Role of IL-17 and Related Cytokines in Inflammatory Autoimmune Diseases
    2017 396 citations Taku Kuwabara, Motonari Kondo et al. profile →
  6. Guidance of regulatory T cell development by Satb1-dependent super-enhancer establishment
    2016 262 citations Yohko Kitagawa, Naganari Ohkura et al. Nature Immunology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Motonari Kondo United States 38 5.7k 2.2k 1.8k 1.7k 550 78 8.4k
David Allman United States 57 6.7k 1.2× 3.3k 1.5× 1.1k 0.6× 2.4k 1.3× 557 1.0× 112 11.0k
Takeshi Egawa United States 36 5.4k 0.9× 1.8k 0.8× 1.0k 0.6× 1.7k 1.0× 366 0.7× 64 7.5k
Margaret L. Hibbs Australia 49 4.3k 0.8× 2.8k 1.3× 851 0.5× 1.3k 0.8× 538 1.0× 128 8.2k
Paul W. Kincade United States 59 5.4k 0.9× 3.0k 1.4× 2.0k 1.1× 1.2k 0.7× 657 1.2× 155 9.6k
Louis M. Pelus United States 47 2.3k 0.4× 2.5k 1.1× 2.0k 1.1× 1.8k 1.0× 780 1.4× 159 6.3k
Avinash Bhandoola United States 50 6.5k 1.1× 2.9k 1.3× 1.2k 0.7× 1.9k 1.1× 215 0.4× 122 9.5k
Ashley R. Dunn Australia 50 4.9k 0.9× 3.6k 1.6× 1.1k 0.6× 2.0k 1.1× 545 1.0× 101 10.0k
Stewart D. Lyman United States 38 4.5k 0.8× 2.8k 1.3× 2.3k 1.3× 1.5k 0.9× 893 1.6× 78 8.5k
Ivan Maillard United States 48 2.7k 0.5× 3.7k 1.7× 1.2k 0.7× 1.5k 0.9× 811 1.5× 152 8.1k
Masaki Yasukawa Japan 47 4.0k 0.7× 2.0k 0.9× 1.5k 0.9× 2.6k 1.5× 529 1.0× 249 8.1k

Countries citing papers authored by Motonari Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Motonari Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motonari Kondo

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

All Works

20 of 20 papers shown
1.
Tanaka, Yuriko, et al.. (2025). TSLP Production Induced by Poly(I:C) Stimulation Increased in the Presence of Th2 Cytokines in Patients with Severe ECRS. International Archives of Otorhinolaryngology. 29(3). 1–7.
2.
Kasai, Hirotake, et al.. (2018). Identification of an Essential Cytoplasmic Region of Interleukin-7 Receptor α Subunit in B-Cell Development. International Journal of Molecular Sciences. 19(9). 2522–2522. 3 indexed citations
3.
Kitagawa, Yohko, Naganari Ohkura, Yujiro Kidani, et al.. (2016). Guidance of regulatory T cell development by Satb1-dependent super-enhancer establishment. Nature Immunology. 18(2). 173–183. 262 indexed citations breakdown →
4.
Guo, Xianghua, Yuriko Tanaka, & Motonari Kondo. (2014). Thymic precursors of TCRαβ+CD8αα+ intraepithelial lymphocytes are negative for CD103. Immunology Letters. 163(1). 40–48. 4 indexed citations
5.
Cain, Derek W., et al.. (2009). A comparison of “steady-state” and “emergency” granulopoiesis: evidence of a single pathway for neutrophil production (87.5). The Journal of Immunology. 182(Supplement_1). 87.5–87.5. 1 indexed citations
6.
Ueda, Yoshihiro, Derek W. Cain, Masayuki Kuraoka, Motonari Kondo, & Garnett Kelsoe. (2009). IL-1R Type I-Dependent Hemopoietic Stem Cell Proliferation Is Necessary for Inflammatory Granulopoiesis and Reactive Neutrophilia. The Journal of Immunology. 182(10). 6477–6484. 114 indexed citations
7.
Kondo, Motonari. (2009). Hematopoietic Stem Cell Biology. Humana Press eBooks. 5 indexed citations
8.
Cain, Derek W., Motonari Kondo, Huaiyong Chen, & Garnett Kelsoe. (2009). Effects of Acute and Chronic Inflammation on B-Cell Development and Differentiation. Journal of Investigative Dermatology. 129(2). 266–277. 70 indexed citations
9.
Lai, Anne Y. & Motonari Kondo. (2007). Identification of a bone marrow precursor of the earliest thymocytes in adult mouse. Proceedings of the National Academy of Sciences. 104(15). 6311–6316. 76 indexed citations
10.
Lai, Anne Y., et al.. (2007). E2A and HEB Are Required to Block Thymocyte Proliferation Prior to Pre-TCR Expression. The Journal of Immunology. 178(9). 5717–5726. 88 indexed citations
11.
Lai, Anne Y. & Motonari Kondo. (2006). Asymmetrical lymphoid and myeloid lineage commitment in multipotent hematopoietic progenitors. The Journal of Experimental Medicine. 203(8). 1867–1873. 112 indexed citations
12.
Hsu, Chia‐Lin, Angela G. Fleischman, Anne Y. Lai, et al.. (2006). Antagonistic effect of CCAAT enhancer-binding protein-α and Pax5 in myeloid or lymphoid lineage choice in common lymphoid progenitors. Proceedings of the National Academy of Sciences. 103(3). 672–677. 52 indexed citations
13.
Lai, Anne Y., Simon Lin, & Motonari Kondo. (2005). Heterogeneity of Flt3-Expressing Multipotent Progenitors in Mouse Bone Marrow. The Journal of Immunology. 175(8). 5016–5023. 65 indexed citations
14.
Ueda, Yoshihiro, Motonari Kondo, & Garnett Kelsoe. (2005). Inflammation and the reciprocal production of granulocytes and lymphocytes in bone marrow. The Journal of Experimental Medicine. 201(11). 1771–1780. 277 indexed citations
15.
Ueda, Y., Kaiyong Yang, Sandra J. Foster, Motonari Kondo, & Garnett Kelsoe. (2004). Inflammation Controls B Lymphopoiesis by Regulating Chemokine CXCL12 Expression. The Journal of Experimental Medicine. 199(1). 47–58. 209 indexed citations
16.
Kondo, Motonari, David C. Scherer, Angela G. King, Markus G. Manz, & Irving L. Weissman. (2001). Lymphocyte development from hematopoietic stem cells. Current Opinion in Genetics & Development. 11(5). 520–526. 56 indexed citations
17.
Kondo, Motonari, Irving L. Weissman, & Koichi Akashi. (1997). Identification of Clonogenic Common Lymphoid Progenitors in Mouse Bone Marrow. Cell. 91(5). 661–672. 1631 indexed citations breakdown →
18.
Kondo, Motonari, et al.. (1997). Bcl-2 Rescues T Lymphopoiesis in Interleukin-7 Receptor–Deficient Mice. Cell. 89(7). 1033–1041. 504 indexed citations breakdown →
19.
Sugamura, Kazuo, Hironobu Asao, Motonari Kondo, et al.. (1995). The Common γ-Chain for Multiple Cytokine Receptors. Advances in immunology. 59. 225–277. 138 indexed citations
20.
Kumaki, Satoru, Motonari Kondo, Tetsuji Takeshita, et al.. (1993). Cloning of the Mouse Interleukin 2 Receptor γ Chain: Demonstration of Functional Differences Between the Mouse and Human Receptors. Biochemical and Biophysical Research Communications. 193(1). 356–363. 48 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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