T Noguchi

441 total citations
9 papers, 317 citations indexed

About

T Noguchi is a scholar working on Genetics, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, T Noguchi has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Pathology and Forensic Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in T Noguchi's work include Acute Lymphoblastic Leukemia research (3 papers), Genetic factors in colorectal cancer (3 papers) and Acute Myeloid Leukemia Research (2 papers). T Noguchi is often cited by papers focused on Acute Lymphoblastic Leukemia research (3 papers), Genetic factors in colorectal cancer (3 papers) and Acute Myeloid Leukemia Research (2 papers). T Noguchi collaborates with scholars based in France and Tunisia. T Noguchi's co-authors include Daniel Birnbaum, François Eisinger, Michel Longy, Hagay Sobol, Florence Allione, J Jacquemier, F Kerangueven, François Coulier, J Simony-Lafontaine and Jean‐Philippe Peyrat and has published in prestigious journals such as Journal of Medical Genetics, Annals of Hematology and Familial Cancer.

In The Last Decade

T Noguchi

9 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T Noguchi France 7 153 135 127 121 90 9 317
Florence Allione France 6 271 1.8× 156 1.2× 176 1.4× 150 1.2× 123 1.4× 8 429
Robbert D.A. Weren Netherlands 7 105 0.7× 79 0.6× 61 0.5× 105 0.9× 147 1.6× 8 274
Markéta Janatová Czechia 12 268 1.8× 133 1.0× 259 2.0× 100 0.8× 127 1.4× 35 483
F. H. Menko Netherlands 8 116 0.8× 131 1.0× 137 1.1× 250 2.1× 135 1.5× 12 396
Bożena Konopka Poland 13 319 2.1× 154 1.1× 51 0.4× 113 0.9× 84 0.9× 23 468
Patrícia Rocha Portugal 12 179 1.2× 139 1.0× 121 1.0× 116 1.0× 141 1.6× 21 369
Maroulio Pertesi United States 12 242 1.6× 140 1.0× 218 1.7× 51 0.4× 114 1.3× 21 430
Emmanuelle Barouk-Simonet France 4 160 1.0× 59 0.4× 93 0.7× 70 0.6× 72 0.8× 11 287
Izabela Brożek Poland 15 353 2.3× 108 0.8× 429 3.4× 95 0.8× 97 1.1× 23 583
Prosser Prosser 3 204 1.3× 101 0.7× 97 0.8× 60 0.5× 252 2.8× 4 361

Countries citing papers authored by T Noguchi

Since Specialization
Citations

This map shows the geographic impact of T Noguchi'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 T Noguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Noguchi more than expected).

Fields of papers citing papers by T Noguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Noguchi

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

All Works

9 of 9 papers shown
1.
Hamadou, Walid Sabri, Violaine Bourdon, Yosra Ben Youssef, et al.. (2017). GATA2 gene analysis in several forms of hematological malignancies including familial aggregations. Annals of Hematology. 96(10). 1635–1639. 6 indexed citations
2.
Hamadou, Walid Sabri, Violaine Bourdon, Yosra Ben Youssef, et al.. (2016). Mutational analysis of TP53 gene in Tunisian familial hematological malignancies and sporadic acute leukemia cases. Familial Cancer. 16(1). 153–157. 6 indexed citations
3.
Hamadou, Walid Sabri, Violaine Bourdon, Yosra Ben Youssef, et al.. (2016). ARLTS1, potential candidate gene in familial aggregation of hematological malignancies. Bulletin du Cancer. 104(2). 123–127. 9 indexed citations
4.
Hamadou, Walid Sabri, Souhail Besbes, Violaine Bourdon, et al.. (2015). Familial hematological malignancies: ASXL1 gene investigation. Clinical & Translational Oncology. 18(4). 385–390. 11 indexed citations
5.
Lagarde, Arnaud, Etienne Rouleau, Anthony Ferrari, et al.. (2010). Germline APC mutation spectrum derived from 863 genomic variations identified through a 15-year medical genetics service to French patients with FAP: Figure 1. Journal of Medical Genetics. 47(10). 721–722. 34 indexed citations
6.
Bourdon, Violaine, Laëtitia Huiart, François Eisinger, et al.. (2009). Molecular study of CEPBA in familial hematological malignancies. Familial Cancer. 8(4). 581–584. 4 indexed citations
7.
Eisinger, François, J. Jacquemier, Colette Charpin, et al.. (1998). Mutations at BRCA1: the medullary breast carcinoma revisited.. PubMed. 58(8). 1588–92. 108 indexed citations
8.
Kerangueven, F, T Noguchi, François Coulier, et al.. (1997). Genome-wide search for loss of heterozygosity shows extensive genetic diversity of human breast carcinomas.. PubMed. 57(24). 5469–74. 137 indexed citations
9.
Noguchi, T, Heiwa Kanamori, Takashi Murata, et al.. (1987). [The effect of oral high-dose amphotericin B in patients with acute leukemia: detection of fungi and prophylaxis for fungal infection].. PubMed. 28(11). 1956–62. 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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