K Kagami

443 citations
16 papers · 393 · h-index 10

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Chronic Lymphocytic Leukemia Research

Papers in

K Kagami

16 papers receiving 383 citations

Peers

K Kagami
Comparison fields: 5 of 57
  • Hematology 146
  • Genetics 64
  • Public Health, Environmental and Occupational Health 104
  • Oncology 82
  • Cancer Research 40
Replace Ulrich Pascheberg with:
Ulrich Pascheberg Germany
Clémence Virely United Kingdom
Harish G. Ahuja United States
Alessandra Scardocci Italy
Kalliopi N. Manola Greece
Andreas E. Kulozik Germany
Susanne Schnittger Germany
Sarah M. Lo United States
Christine Apour Connolly United States
Shenglan Gong China
K Kagami relative to Ulrich Pascheberg Germany Ulrich Pascheberg's profile →
Citations per field
00.5×2×3×4×5×
Ulrich Pascheberg · 1×
Citations per year

Countries citing papers authored by K Kagami

Since Specialization
Citations

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

Fields of papers citing papers by K Kagami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K Kagami, 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 K Kagami Line = papers co-authored together K Kagami links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 199959
2 200258
3
Mechanisms of glucocorticoid resistance in human leukemic cells: implication of abnormal 90 and 70 kDa heat shock proteins.
199656
4 200146
5 200637
6 199826
7 199924
8 201216
9 200014
10 201013
11 200010
12 200110
13 20179
14 20128
15 20006
16 20081

About K Kagami

K Kagami is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Immunology, Genetics and Molecular Biology, having authored 16 papers that have together received 393 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (8 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Blood groups and transfusion (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Platelet Disorders and Treatments (2 papers) and Blood disorders and treatments (2 papers). The work is most often cited by research in Hematology (146 citations), Genetics (64 citations), Public Health, Environmental and Occupational Health (104 citations), Oncology (82 citations) and Cancer Research (40 citations). K Kagami has collaborated with scholars based in Japan, United States and China. Frequent co-authors include K Sugita, Kumiko Goi, Takeshi Inukai, Shuntatsu Nakazawa, Tohru Tezuka, Satoru Kojika, Makoto Nakamura, Kiyono Shiraishi, Hiroshi Sato and Nick Barker. Their work appears in journals such as Leukemia, Cell Death and Differentiation, Bone Marrow Transplantation, Oncogene and Leukemia Research.

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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