N Morita

480 citations
9 papers · 362 indexed · h-index 7

N Morita

8 papers receiving 353 citations

Peers

N Morita
Comparison fields: 5 of 32
  • Hematology 288
  • Genetics 62
  • Public Health, Environmental and Occupational Health 144
  • Pathology and Forensic Medicine 60
  • Emergency Medicine 32
Replace RM Goorha with:
RM Goorha United States
G Castoldi Italy
Guus Westra Netherlands
S. K. China
María José Calmuntia Spain
G Auzanneau France
JH Bourhis United States
Paola Maria Cavigliano Italy
MD Amylon United States
Joseph Mırro United States
N Morita relative to RM Goorha United States RM Goorha's profile →
Citations per field
00.5×4.5×
RM Goorha · 1×
Citations per year

Countries citing papers authored by N Morita

Since Specialization
Citations

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

Fields of papers citing papers by N Morita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 199350
2
A granulocytic population with rearranged immunogenotype in chronic myelocytic leukemia blast crisis and Philadelphia-chromosome-positive acute leukemia with cross-lineage nature.
19938
3
Frequent gene expression of granulocyte colony-stimulating factor (G-CSF) receptor in CD7+ surface CD3- acute lymphoblastic leukaemia.
199320
4
Cellular characteristics of chronic myelocytic leukemia basophilic crisis cells: phenotype, responsiveness to and receptor gene expression for various kinds of growth factors and cytokines.
19937
5 19926
6 1992122
7
Rearrangement patterns of immunoglobulin heavy chain (IgH) and light chain genes in acute lymphoblastic leukemia and chronic myelocytic leukemia lymphoid crisis cells showing oligoclonal IgH gene rearrangements.
19922
8 1992147
9 19900

About N Morita

N Morita is a scholar working on Hematology, Genetics and Immunology, having authored 9 papers that have together received 362 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Neutropenia and Cancer Infections (1 paper), Mast cells and histamine (1 paper), Oral health in cancer treatment (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Hematology (288 citations), Genetics (62 citations) and Public Health, Environmental and Occupational Health (144 citations). N Morita has collaborated with scholars based in Japan. Frequent co-authors include Nobuyuki Takakura, Kazuhiro Nishii, S Shirakawa, Hiroto Miwa, K Kita, Masahiro Masuya, A Otsuji, T. UEDA, Kazunori Nakase and K Ohishi. Their work appears in journals such as Blood, Leukemia Research, PubMed and Japanese Journal of Medicine.

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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