J Gidáli

589 citations
38 papers · 443 · h-index 10

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 13
    • Acute Myeloid Leukemia Research 4
    • Cancer Cells and Metastasis 7
    • Cytokine Signaling Pathways and Interactions 3

J Gidáli

36 papers receiving 398 citations

Peers

J Gidáli
Comparison fields: 5 of 65
  • Hematology 172
  • Genetics 109
  • Oncology 114
  • Immunology 85
  • Radiology, Nuclear Medicine and Imaging 83
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Citations per field
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Citations per year

Countries citing papers authored by J Gidáli

Since Specialization
Citations

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

Fields of papers citing papers by J Gidáli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside J Gidáli, 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 J Gidáli Line = papers co-authored together J Gidáli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197287
2 197477
3 197459
4 197431
5 197718
6 198115
7 199615
8 197913
9
Long-term perturbation of hemopoiesis after moderate damage to stem cells.
198511
10 19909
11 19699
12 20028
13
The effect of a combined purging with mafosfamide and hyperthermia on murine haemopoietic stem cells and leukaemogenic cells.
19928
14 19728
15 20007
16 19647
17 20026
18 19645
19
Self-renewal capacity of mobilized murine haemopoietic stem cells.
19874
20
Human fetal liver as a valuable source of haemopoietic stem cells for allogeneic bone marrow transplantation.
19894

About J Gidáli

J Gidáli is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 443 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (13 papers), Mesenchymal stem cell research (11 papers), Effects of Radiation Exposure (8 papers), Cancer Cells and Metastasis (7 papers), Acute Myeloid Leukemia Research (4 papers), Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Hematology (172 citations), Genetics (109 citations), Oncology (114 citations), Immunology (85 citations) and Radiology, Nuclear Medicine and Imaging (83 citations). J Gidáli has collaborated with scholars based in Hungary, Czechia and United Kingdom. Frequent co-authors include I. Fehér, L. G. Lajtha, B. I. Lord, Susan R. Hollán, Péter Kovács, András Falus, L. J. Brandes, Krisztina Hegyi, M. Benczúr and Anna Poros. Their work appears in journals such as Cell Proliferation, Radiation Research, Stem Cells, Leukemia Research and Blood.

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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