Y. Nagatomo

455 total citations
37 papers, 342 citations indexed

About

Y. Nagatomo is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Epidemiology. According to data from OpenAlex, Y. Nagatomo has authored 37 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Epidemiology. Recurrent topics in Y. Nagatomo's work include T-cell and Retrovirus Studies (7 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (5 papers). Y. Nagatomo is often cited by papers focused on T-cell and Retrovirus Studies (7 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (5 papers). Y. Nagatomo collaborates with scholars based in Japan and United States. Y. Nagatomo's co-authors include Akihiko Okayama, Kunihiko Umekita, Hirohito Tsubouchi, Ichiro Takajo, N Tachibana, Koichi Murai, Kazuyoshi Kubo, Tadanori Sasaki, M Maeda and Takahiro Takuma and has published in prestigious journals such as International Journal of Cancer, Annals of the Rheumatic Diseases and Emerging infectious diseases.

In The Last Decade

Y. Nagatomo

36 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Nagatomo Japan 11 78 63 60 58 58 37 342
C Hall United States 12 35 0.4× 84 1.3× 69 1.1× 19 0.3× 58 1.0× 26 553
Satoshi Shimada Japan 14 49 0.6× 29 0.5× 27 0.5× 122 2.1× 219 3.8× 29 466
S I Terry Jamaica 12 96 1.2× 24 0.4× 28 0.5× 37 0.6× 60 1.0× 31 465
B J McSherry Canada 14 61 0.8× 48 0.8× 73 1.2× 28 0.5× 30 0.5× 37 464
Sheila M. Nolan United States 13 59 0.8× 154 2.4× 30 0.5× 36 0.6× 227 3.9× 28 469
János Gál Hungary 14 81 1.0× 125 2.0× 25 0.4× 45 0.8× 119 2.1× 51 504
Susan Simon United States 9 51 0.7× 108 1.7× 22 0.4× 95 1.6× 30 0.5× 14 393
Ichiro Takajo Japan 13 112 1.4× 60 1.0× 71 1.2× 30 0.5× 73 1.3× 39 343
G. Georgiev Bulgaria 11 145 1.9× 68 1.1× 197 3.3× 67 1.2× 170 2.9× 28 528
W. E. Giddens United States 14 113 1.4× 193 3.1× 25 0.4× 22 0.4× 70 1.2× 35 565

Countries citing papers authored by Y. Nagatomo

Since Specialization
Citations

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

Fields of papers citing papers by Y. Nagatomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Nagatomo

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Nagatomo. A scholar is included among the top collaborators of Y. Nagatomo 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 Y. Nagatomo. Y. Nagatomo 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.
Maeda, M, Y. Nagatomo, Takahiro Takuma, et al.. (2018). 血流感染症における死亡率の疫学と危険因子:日本における単一施設後向き研究【JST・京大機械翻訳】. American Journal of Infection Control. 46(12). 75–79. 1 indexed citations
2.
Maeda, M, Y. Nagatomo, Takahiro Takuma, et al.. (2018). Epidemiology and risk factors for mortality in bloodstream infections: A single-center retrospective study in Japan. American Journal of Infection Control. 46(12). e75–e79. 57 indexed citations
3.
Umeki, Kazumi, Kunihiko Umekita, Ikuo Yamamoto, et al.. (2017). Evaluation of Line Immunoassay to Detect HTLV-1 Infection in an Endemic Area, Southwestern Japan; Comparison with Polymerase Chain Reaction and Western Blot. Clinical Laboratory. 63(02/2017). 227–233. 13 indexed citations
4.
Takajo, Ichiro, Tsuyoshi Sekizuka, Hiromi Fujita, et al.. (2016). Possible Case of Novel Spotted Fever Group Rickettsiosis in Traveler Returning to Japan from India. Emerging infectious diseases. 22(6). 1079–1082. 8 indexed citations
5.
Kawaguchi, Takeshi, Ichiro Takajo, Ayako Kawano, et al.. (2016). Severe fever with thrombocytopenia syndrome with myocardial dysfunction and encephalopathy: A case report. Journal of Infection and Chemotherapy. 22(9). 633–637. 21 indexed citations
6.
Nagatomo, Y., et al.. (2014). [Ten-year questionnaire survey on adult asthma patients in Miyazaki Prefecture, Japan].. PubMed. 63(6). 794–804.
7.
Miyauchi, S., Kunihiko Umekita, Takayuki Hidaka, et al.. (2013). FRI0194 Treatment with anti-tumor necrosis factor (TNF) biologics to human t-lymphotropic virus type 1 (HTLV-1) positive patients with rheumatoid arthritis (RA): a case-control study. Annals of the Rheumatic Diseases. 72. A437–A438. 1 indexed citations
8.
Umekita, Kunihiko, Kazumi Umeki, Kazuyoshi Kubo, et al.. (2013). Use of anti-tumor necrosis factor biologics in the treatment of rheumatoid arthritis does not change human T-lymphotropic virus type 1 markers: a case series. Modern Rheumatology. 25(5). 794–797. 16 indexed citations
9.
Umekita, Kunihiko, Toshihiko Hidaka, Kazuyoshi Kubo, et al.. (2013). Treatment With Anti–Tumor Necrosis Factor Biologic Agents in Human T Lymphotropic Virus Type I–Positive Patients With Rheumatoid Arthritis. Arthritis Care & Research. 66(5). 788–792. 12 indexed citations
10.
Umeki, Kazumi, Ichiro Takajo, Y. Nagatomo, et al.. (2011). Proviral loads of human T‐lymphotropic virus Type 1 in asymptomatic carriers with different infection routes. International Journal of Cancer. 130(10). 2318–2326. 7 indexed citations
11.
Hamazaki, Tadao, et al.. (2010). Characteristics, types and spatial patterns of Alpine meadow soils in the Qinghai-Tibet Plateau.. 54(1). 21–34. 2 indexed citations
12.
13.
Nagatomo, Y., et al.. (2005). Estimation of herbage mass in a bahia grass ( Paspalum notatum ) and a centipede grass ( Eremochloa ophiuroides ) pasture using a capacitance probe, a sward stick and a rising plate. Tropical grasslands. 39(1). 22–30. 11 indexed citations
14.
Nagatomo, Y., et al.. (2002). Mycoplasma Pneumonia of Identical Twin Sisters with Different Clinical Courses Depending on the Treatment. Kansenshogaku zasshi. 76(12). 1040–1044. 2 indexed citations
15.
Nagatomo, Y., et al.. (2000). Organic carbon content and phytolith in a cumulative Andisols in Miyakonojo basin, Japan.. 44(2). 109–123. 4 indexed citations
16.
Nagatomo, Y., Akira Okayama, Koichi Murai, et al.. (2000). Successful treatment using high-dose intravenous immunoglobulin in a patient with rapidly progressive interstitial pneumonia associated with dermatomyositis. Modern Rheumatology. 10(3). 165–168. 6 indexed citations
17.
Nagatomo, Y., et al.. (1996). Cumulic volcanic ash soil profile mainly originated from volcano Sakurajima's ejecta at Hikari-ishi, Tarumizu city [Kagoshima, Japan]. 3 indexed citations
18.
19.
Tamai, Motoki, et al.. (1990). Nitrogen release from some green manure crops of the Philippines under aerobic and anaerobic conditions.. 36(2). 289–300. 2 indexed citations
20.
Nagatomo, Y.. (1987). [Studies on the mechanism of gamma-glutamyltranspeptidase elevation in serum--concerning its hydrophobic and hydrophilic forms].. PubMed. 78(9). 465–81. 2 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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