Ayako Nogami

419 citations
26 papers · 335 · h-index 12

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Acute Myeloid Leukemia Research 8
    • Chronic Myeloid Leukemia Treatments 4
    • Multiple Myeloma Research and Treatments 3
    • CAR-T cell therapy research 5

Ayako Nogami

24 papers receiving 333 citations

Peers

Ayako Nogami
Comparison fields: 5 of 59
  • Hematology 132
  • Virology 27
  • Genetics 58
  • Oncology 95
  • Pathology and Forensic Medicine 47
Replace Barbara Ferstl with:
Barbara Ferstl Germany
Ron MacFarland United States
Kazuhiro Yago Japan
Kristina Drott Sweden
Etsuko Aoki United States
Emily Heath Germany
Marcelo A. Navarrete Chile
Scott Portwood United States
Elke Malenke Germany
Joy Ho Australia
Ayako Nogami relative to Barbara Ferstl Germany Barbara Ferstl's profile →
Citations per field
00.5×4.3×
Barbara Ferstl · 1×
Citations per year

Countries citing papers authored by Ayako Nogami

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Nogami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ayako Nogami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ayako Nogami Line = papers co-authored together Ayako Nogami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201547
2 201938
3 201733
4 201932
5 201424
6 201221
7 201818
8 201816
9 202315
10 202015
11 201713
12 201812
13 202211
14 202111
15 20178
16 20166
17 20243
18 20233
19 20192
20 20192

About Ayako Nogami

Ayako Nogami is a scholar working on Hematology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 26 papers that have together received 335 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), CAR-T cell therapy research (5 papers), Cancer Mechanisms and Therapy (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Hematology (132 citations), Virology (27 citations), Genetics (58 citations), Oncology (95 citations) and Pathology and Forensic Medicine (47 citations). Ayako Nogami has collaborated with scholars based in Japan and United States. Frequent co-authors include Osamu Miura, Yoshihiro Umezawa, Hiroki Akiyama, Toshikage Nagao, Gaku Oshikawa, Tetsuya Kurosu, Daisuke Watanabe, Koji Sasaki, Masahide Yamamoto and Shuji Tohda. Their work appears in journals such as Oncotarget, Blood, International Journal of Molecular Sciences, Cancers and Cancer Letters.

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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