Makoto Iitaka

1.4k total citations
54 papers, 1.1k citations indexed

About

Makoto Iitaka is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Immunology. According to data from OpenAlex, Makoto Iitaka has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Genetics and 10 papers in Immunology. Recurrent topics in Makoto Iitaka's work include Thyroid Disorders and Treatments (28 papers), Diabetes and associated disorders (12 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). Makoto Iitaka is often cited by papers focused on Thyroid Disorders and Treatments (28 papers), Diabetes and associated disorders (12 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). Makoto Iitaka collaborates with scholars based in Japan, Canada and United States. Makoto Iitaka's co-authors include VAS V. ROW, Robert J. Volpe, Shigehiro Katayama, Shinji Kitahama, Jun Ishii, Seiki Wada, Shiro Miura, Kunihiko Ito, Hertzel C. Gerstein and Naoko Momotani and has published in prestigious journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Makoto Iitaka

53 papers receiving 1.1k 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 Iitaka Japan 19 670 364 247 217 177 54 1.1k
Hironori Nakajima Japan 20 420 0.6× 172 0.5× 137 0.6× 313 1.4× 210 1.2× 66 1.1k
Andrea Di Domenicantonio Italy 10 517 0.8× 186 0.5× 227 0.9× 185 0.9× 67 0.4× 18 983
Michel Neufeld United States 11 1.0k 1.6× 599 1.6× 94 0.4× 181 0.8× 374 2.1× 14 1.4k
Héctor Jasper Argentina 20 1.1k 1.6× 634 1.7× 170 0.7× 510 2.4× 146 0.8× 53 1.6k
D. R. Cullen United Kingdom 18 591 0.9× 176 0.5× 65 0.3× 132 0.6× 384 2.2× 37 1.2k
Jennie H. M. Yang United Kingdom 15 296 0.4× 838 2.3× 603 2.4× 357 1.6× 439 2.5× 20 1.6k
V. J. McCann Australia 17 297 0.4× 197 0.5× 249 1.0× 109 0.5× 141 0.8× 34 917
Leonardo Vicentini Italy 23 884 1.3× 345 0.9× 77 0.3× 496 2.3× 437 2.5× 52 1.6k
Arturo P. Saavedra United States 14 282 0.4× 139 0.4× 111 0.4× 212 1.0× 227 1.3× 40 1.2k
Hisafumi Yasuda Japan 17 203 0.3× 374 1.0× 243 1.0× 188 0.9× 313 1.8× 49 764

Countries citing papers authored by Makoto Iitaka

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Iitaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Iitaka

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Iitaka. A scholar is included among the top collaborators of Makoto Iitaka 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 Iitaka. Makoto Iitaka 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.
Volpe, Robert J. & Makoto Iitaka. (2009). Evidence for an Antigen-Specific Defect in Suppressor T-Lymphozytes in Autoimmune Thyroid Disease. Experimental and Clinical Endocrinology & Diabetes. 97(02/03). 133–138. 2 indexed citations
2.
Iitaka, Makoto. (2004). Iodine Deficiency Disorder and Clinical Practice. 1 indexed citations
3.
Iitaka, Makoto, Nils G. Morgenthaler, Naoko Momotani, et al.. (2003). Stimulation of thyroid‐stimulating hormone (TSH) receptor antibody production following painless thyroiditis. Clinical Endocrinology. 60(1). 49–53. 22 indexed citations
4.
Minagawa, Akinobu, Makoto Iitaka, Miho Suzuki, et al.. (2002). A case of primary mucoepidermoid carcinoma of the thyroid: molecular evidence of its origin. Clinical Endocrinology. 57(4). 551–556. 38 indexed citations
5.
6.
Iitaka, Makoto, Shizuko Kakinuma, Shin Fujimaki, et al.. (2001). Induction of apoptosis and necrosis by zinc in human thyroid cancer cell lines. Journal of Endocrinology. 169(2). 417–424. 36 indexed citations
7.
8.
Morita, Toshisuke, et al.. (2000). Insulin levels during fasting and the glucose tolerance test and Homaʼs index predict subsequent development of hypertension. Journal of Hypertension. 18(1). 83–88. 40 indexed citations
9.
Iitaka, Makoto, et al.. (1998). Serum substances that interfere with thyroid hormone assays in patients with chronic renal failure. Clinical Endocrinology. 48(6). 739–746. 20 indexed citations
10.
Nagayama, Yuji, et al.. (1998). Retrovirus-Mediated Suicide Gene Prodrug Therapy Targeting Thyroid Carcinoma Using a Thyroid-Specific Promoter. Endocrinology. 139(9). 3996–3999. 40 indexed citations
11.
Iitaka, Makoto, Jaeduk Yoshimura Noh, Shinji Kitahama, et al.. (1998). Elevated serum granulocyte colony‐stimulating factor levels in patients with Graves' disease. Clinical Endocrinology. 48(3). 275–280. 7 indexed citations
12.
Iitaka, Makoto, et al.. (1998). Increased Serum Vascular Endothelial Growth Factor Levels and Intrathyroidal Vascular Area in Patients with Graves’ Disease and Hashimoto’s Thyroiditis. The Journal of Clinical Endocrinology & Metabolism. 83(11). 3908–3912. 98 indexed citations
13.
Iitaka, Makoto, Shinji Kitahama, Shiro Miura, et al.. (1997). Transplantable rat thyroid cancer cell line FRTC transformed with muramyl dipeptide. British Journal of Cancer. 75(1). 40–46. 5 indexed citations
14.
Iitaka, Makoto, Naoko Momotani, Jun Ishii, & Kunihiko Ito. (1996). Incidence of subacute thyroiditis recurrences after a prolonged latency: 24-year survey.. The Journal of Clinical Endocrinology & Metabolism. 81(2). 466–469. 32 indexed citations
15.
Miura, Shiro, et al.. (1996). Decrease in Serum Levels of Thyroid Hormone in Patients with Coronary Heart Disease.. Endocrine Journal. 43(6). 657–663. 38 indexed citations
16.
Kitahama, Shinji, Makoto Iitaka, Tadashi Shimizu, et al.. (1996). Thyroid involvement by malignant histiocytosis of Langerhans' cell type. Clinical Endocrinology. 45(3). 357–363. 21 indexed citations
17.
Iitaka, Makoto, et al.. (1992). Incidence of Anti-Mouse IgG in normal subjects and Patients with Autoimmune Thyroid Disease.. Internal Medicine. 31(8). 984–988. 5 indexed citations
18.
Iitaka, Makoto, et al.. (1991). A Case of Graves' Disease with False Hyperthyrotropinemia Who Developed Silent Thyroiditis.. Endocrinologia Japonica. 38(6). 667–671. 9 indexed citations
19.
Matsubayashi, Sunao, et al.. (1990). CD4 cells from patients with autoimmune thyroid disease secrete interferon γ after stimulation by thyroid microsomal antigen; CD8 cells suppress this secretion. Journal of Endocrinological Investigation. 13(9). 717–726. 11 indexed citations
20.
Iitaka, Makoto, et al.. (1988). Studies of the Effect of Suppressor T Lymphocytes on the Induction of Antithyroid Microsomal Antibody- Secreting Cells in Autoimmune Thyroid Disease*. The Journal of Clinical Endocrinology & Metabolism. 66(4). 708–714. 24 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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