Makoto Katagiri

1.7k total citations
84 papers, 1.1k citations indexed

About

Makoto Katagiri is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy. According to data from OpenAlex, Makoto Katagiri has authored 84 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 17 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Immunology and Allergy. Recurrent topics in Makoto Katagiri's work include T-cell and B-cell Immunology (21 papers), Immunotherapy and Immune Responses (18 papers) and Immune Cell Function and Interaction (18 papers). Makoto Katagiri is often cited by papers focused on T-cell and B-cell Immunology (21 papers), Immunotherapy and Immune Responses (18 papers) and Immune Cell Function and Interaction (18 papers). Makoto Katagiri collaborates with scholars based in Japan, United States and Canada. Makoto Katagiri's co-authors include Shoji Kimura, Keisuke Sato, Naoyuki Miyokawa, Tanekazu Harada, Louis Du Pasquier, Masanori Kasahara, Martin F. Flajnik, Hidetaka Yakura, Hiroya Kobayashi and Isao Kawabata and has published in prestigious journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications and Journal of Applied Physiology.

In The Last Decade

Makoto Katagiri

81 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Katagiri Japan 19 564 216 196 133 124 84 1.1k
T. Sasazuki Japan 18 572 1.0× 268 1.2× 122 0.6× 150 1.1× 163 1.3× 36 1.2k
H Dang United States 17 570 1.0× 268 1.2× 340 1.7× 200 1.5× 113 0.9× 28 1.0k
R T McCluskey United States 11 688 1.2× 273 1.3× 326 1.7× 128 1.0× 125 1.0× 19 1.4k
Debbie L. Hardie United Kingdom 18 603 1.1× 320 1.5× 272 1.4× 141 1.1× 232 1.9× 34 1.2k
G. G. de Lange Netherlands 16 421 0.7× 380 1.8× 217 1.1× 147 1.1× 116 0.9× 39 1.0k
Grete Sønderstrup United States 20 554 1.0× 282 1.3× 321 1.6× 266 2.0× 121 1.0× 30 1.1k
Christiane Werner‐Favre Switzerland 14 1.1k 1.9× 304 1.4× 290 1.5× 263 2.0× 170 1.4× 25 1.7k
H S Ko United States 7 793 1.4× 307 1.4× 315 1.6× 86 0.6× 112 0.9× 9 1.2k
Vicky M. Lentz United States 11 870 1.5× 202 0.9× 108 0.6× 61 0.5× 106 0.9× 14 1.2k
Barbara J. Vilen United States 18 860 1.5× 271 1.3× 152 0.8× 175 1.3× 115 0.9× 31 1.2k

Countries citing papers authored by Makoto Katagiri

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Katagiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Katagiri

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Katagiri. A scholar is included among the top collaborators of Makoto Katagiri 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 Makoto Katagiri. Makoto Katagiri 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.
Aoki, Naoko, Kensuke Oikawa, Mitsuru Yanai, et al.. (2003). Modulation of Hepatic Granulomatous Responses by Transgene Expression of DAP12 or TREM-1-Ig Molecules. American Journal Of Pathology. 162(4). 1191–1201. 33 indexed citations
2.
Aoki, Naoko, Shoji Kimura, Kensuke Oikawa, et al.. (2002). DAP12 ITAM Motif Regulates Differentiation and Apoptosis in M1 Leukemia Cells. Biochemical and Biophysical Research Communications. 291(2). 296–304. 9 indexed citations
3.
Aoki, Naoko, Keisuke Sato, Kensuke Oikawa, et al.. (2002). Identification of metallopanstimulin-1 as a member of a tumor associated antigen in patients with breast cancer. Cancer Letters. 182(1). 101–107. 25 indexed citations
4.
Aoki, Naoko, Shoji Kimura, Yumi Takiyama, et al.. (2000). The Role of the DAP12 Signal in Mouse Myeloid Differentiation. The Journal of Immunology. 165(7). 3790–3796. 37 indexed citations
5.
Katagiri, Makoto, et al.. (1998). A study of sternocleidomastoid muscular atrophy after modified neck dissection. Surgery Today. 28(1). 46–58. 7 indexed citations
6.
Hirai, Katsuyuki, et al.. (1997). Durable Remission after Splenectomy for Waldenström's Macroglobulinemia with Massive Splenomegaly in Leukemic Phase. Leukemia & lymphoma. 26(3-4). 387–393. 14 indexed citations
7.
Abe, Yusuke, et al.. (1997). Epitope Analysis of Birch Pollen Allergen in Japanese Subjects. Journal of Clinical Immunology. 17(6). 485–493. 12 indexed citations
9.
Katagiri, Makoto, et al.. (1995). Familial non-multiple endocrine neoplasia medullary thyroid carcinoma: Report of a case confirming a new clinical entity in Japan. Surgery Today. 25(9). 822–826. 1 indexed citations
10.
Kobayashi, Hiroya, et al.. (1995). Analysis of Naturally Processed Human Histocompatibility Leukocyte Antigen Class I‐Bound Peptides from Hepatocellular Carcinoma Tissues in vivo. Japanese Journal of Cancer Research. 86(10). 962–968. 1 indexed citations
11.
Sato, Kazunobu & Makoto Katagiri. (1994). [Cloning of Xenopus laevis major histocompatibility complex class II beta-chain genes].. PubMed. 69(2). 202–16. 1 indexed citations
12.
Kinouchi, Reiko, et al.. (1994). Peptide motifs of HLA-DR4/DR53 (DRB1*0405/DRB4*0101) molecules. Immunogenetics. 40(5). 376–378. 24 indexed citations
13.
Fukuzawa, Shigeru, et al.. (1993). Hemangioma of the left ventricular cavity: Presumptive diagnosis by magnetic resonance imaging. Heart and Vessels. 8(4). 211–214. 12 indexed citations
14.
Fukunaga, Masao, et al.. (1993). Quantification of Bone Mineral in the Vertebral Body and Whole Body Skeleton with a Newly Developed Dual Energy X-ray Absorptiometric System Using a Multi-detector Array. 19(3). 65–76. 1 indexed citations
15.
Ogimoto, Mami, Kazuya Mizuno, Genshu Tate, et al.. (1992). Regulation of lipopolysaccharide- and IL-4-induced immunoglobulin heavy chain gene activation: differential roles for CD45 and Lyb-2. International Immunology. 4(6). 651–659. 13 indexed citations
16.
Harada, Tanekazu, Makoto Katagiri, Katsutaro Shimaoka, & Kunihiko Ito. (1989). A comparative evaluation of the surgical and radioiodine treatments for Graves’ disease. Surgery Today. 19(1). 29–37. 3 indexed citations
17.
Yakura, Hidetaka, et al.. (1989). Alleviation of autoimmunity in BXSB mice by monoclonal alloantibody to Ly‐5 (CD45). European Journal of Immunology. 19(8). 1505–1508. 5 indexed citations
18.
Harada, Tanekazu, et al.. (1989). Squamous cell carcinoma with cyst of the thyroid. Journal of Surgical Oncology. 42(2). 136–143. 10 indexed citations
19.
Katagiri, Makoto, et al.. (1988). Effectiveness of mexiletine in senile hypertensives with repetitive ventricular arrhythmias and serum mexiletine concentration measured with HPLC.. Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics. 19(2). 423–430. 2 indexed citations
20.
Nakamura, Takashi, et al.. (1986). 391. Monoclonal Antibodies to Choriocarcinoma. 日本産科婦人科學會雜誌. 38(8). 1441–1442. 1 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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