I. Fehér

580 citations
65 papers · 384 · h-index 10

Impact in

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

Papers in

    • Mesenchymal stem cell research 11
    • Hematopoietic Stem Cell Transplantation 12
    • Acute Myeloid Leukemia Research 3

I. Fehér

57 papers receiving 353 citations

Peers

I. Fehér
Comparison fields: 5 of 101
  • Hematology 99
  • Genetics 63
  • Oncology 70
  • Biochemistry 19
  • Immunology 49
Replace J Gidáli with:
J Gidáli Hungary
Herbert H. Spencer United States
Oreste E. Salavaggione United States
Edward H. Reisner United States
MJ Summers United Kingdom
Smith Br United States
Annie Chow United States
Kathryn Mazina United States
L A Price United Kingdom
Lisa Dietz Germany
I. Fehér relative to J Gidáli Hungary J Gidáli's profile →
Citations per field
00.5×
J Gidáli · 1×
Citations per year

Countries citing papers authored by I. Fehér

Since Specialization
Citations

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

Fields of papers citing papers by I. Fehér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197477
2 197431
3 197718
4 201718
5 202217
6 198115
7 199615
8 197913
9 195811
10
Long-term perturbation of hemopoiesis after moderate damage to stem cells.
198511
11 19909
12 19938
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 20027
17 20026
18 20035
19 19575
20 19614

About I. Fehér

I. Fehér is a scholar working on Genetics, Hematology, Oncology, Molecular Biology and Genetics, having authored 65 papers that have together received 384 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Mesenchymal stem cell research (11 papers), Cancer Cells and Metastasis (6 papers), Immunotherapy and Immune Responses (4 papers), Effects of Radiation Exposure (4 papers), Immune Response and Inflammation (3 papers), Acute Myeloid Leukemia Research (3 papers) and Phenomenology and Existential Philosophy (3 papers). The work is most often cited by research in Hematology (99 citations), Genetics (63 citations), Oncology (70 citations), Biochemistry (19 citations) and Immunology (49 citations). I. Fehér has collaborated with scholars based in Hungary, Czechia and Romania. Frequent co-authors include J Gidáli, Susan R. Hollán, I. Dési, Tivadar Bara, Simona Gurzu, Ioan Jung, Zoltán Lakner, K. Lapis, Agus Dwi Nugroho and Attila Zalatnai. Their work appears in journals such as Cell Proliferation, Nature, Radiation Research, Leukemia Research and Agricultural Economics (Zemědělská ekonomika).

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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