J. Földi
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Hemoglobinopathies and Related Disorders
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- Immune Cell Function and Interaction
- T-cell and Retrovirus Studies
Papers in
- Genetics 17
- Hemoglobinopathies and Related Disorders 9
- Chronic Lymphocytic Leukemia Research 8
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- Glycosylation and Glycoproteins Research 4
- Co-authors
- Terence H. Rabbitts (4 shared papers)Letizia Foroni (4 shared papers)Lucio Luzzatto (4 shared papers)D Catovsky (4 shared papers)E Matutes (4 shared papers)John K. Cheshire (1 shared paper)Patricia Woo (1 shared paper)Susan R. Hollán (8 shared papers)
- Journals
- British Journal of Haematology (2 papers)Blood (2 papers)Gynecologic Oncology (1 paper)Transfusion (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- HungaryFranceUnited Kingdom
In The Last Decade
J. Földi
35 papers receiving 382 citations
Peers
Comparison fields: 5 of 55
- Genetics 113
- Immunology 161
- Hematology 70
- Pathology and Forensic Medicine 60
- Oncology 74
Countries citing papers authored by J. Földi
This map shows the geographic impact of J. Földi'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. Földi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Földi more than expected).
Fields of papers citing papers by J. Földi
This network shows the impact of papers produced by J. Földi. 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. Földi. The network helps show where J. Földi may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Földi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 54 | |
| 2 | 1987 | 41 | |
| 3 | 1987 | 35 | |
| 4 | 1988 | 32 | |
| 5 | 1999 | 29 | |
| 6 | 1988 | 27 | |
| 7 | 1999 | 21 | |
| 8 | 2004 | 21 | |
| 9 | 2002 | 19 | |
| 10 | 2000 | 13 | |
| 11 | 1980 | 13 | |
| 12 | 1980 | 12 | |
| 13 | 1983 | 10 | |
| 14 | 1980 | 10 | |
| 15 | 1981 | 10 | |
| 16 | 1994 | 8 | |
| 17 | 2000 | 7 | |
| 18 | 1989 | 6 | |
| 19 | Molecular background of a new case of chronic myelogenous leukemia with bcr-abl chimera mRNA lacking the A2 exon. | 1994 | 6 |
| 20 | 1972 | 5 |
About J. Földi
J. Földi is a scholar working on Genetics, Molecular Biology, Hematology, Immunology and Cell Biology, having authored 39 papers that have together received 404 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Hemoglobin structure and function (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), T-cell and Retrovirus Studies (5 papers), Glycosylation and Glycoproteins Research (4 papers), Immune Cell Function and Interaction (4 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Genetics (113 citations), Immunology (161 citations), Hematology (70 citations), Pathology and Forensic Medicine (60 citations) and Oncology (74 citations). J. Földi has collaborated with scholars based in Hungary, France and United Kingdom. Frequent co-authors include Terence H. Rabbitts, Letizia Foroni, Lucio Luzzatto, D Catovsky, E Matutes, John K. Cheshire, Patricia Woo, Susan R. Hollán, Mark R. Edbrooke and David J. Faulkes. Their work appears in journals such as British Journal of Haematology, Blood, Gynecologic Oncology, Transfusion and Bone Marrow Transplantation.
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.