J Gäbert

5.6k citations
38 papers · 3.9k indexed · 3 hit papers · h-index 19

J Gäbert

37 papers receiving 3.8k citations

Hit Papers

Evaluation of candidate control genes for diagnosis and r...65619992026200820172505007501000

Peers

J Gäbert
Comparison fields: 5 of 119
  • Hematology 2.6k
  • Genetics 1.0k
  • Public Health, Environmental and Occupational Health 1.5k
  • Biological Psychiatry 82
  • Pathology and Forensic Medicine 495
Replace Juana Ciudad with:
Juana Ciudad Spain
Eileen Bryant United States
MP Link United States
Maria Christina Cox Italy
Christopher R. Cogle United States
Lynda J. Campbell Australia
Lucienne Michaux Belgium
Angela Mastronuzzi Italy
Isabelle Touitou France
Stephen J. Richards United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by J Gäbert

Since Specialization
Citations

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

Fields of papers citing papers by J Gäbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20176
2 20143
3 2012177
4 2007184
5 200611
6 200528
7
Standardization and quality control studies of ‘real-time’ quantitative reverse transcriptase polymerase chain reaction of fusion gene transcripts for residual disease detection in leukemia – A Europe Against Cancer Programbreakdown →
20031091
8 200344
9
No Superiority of Autologous Stem Cell Transplantation over Chemotherapy Alone in Adult Ph-Negative ALL in First Complete Remission A Long Follow-Up Report Combining Results of LALA 85, 87 and 94 Trials
20022
10 200012
11 200038
12
Standardized RT-PCR analysis of fusion gene transcripts from chromosome aberrations in acute leukemia for detection of minimal residual diseasebreakdown →
1999865
13 19981
14 199730
15 19973
16 19964
17 19902
18 198982
19 198916
20 197252

About J Gäbert

J Gäbert is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 3.9k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (15 papers), Acute Myeloid Leukemia Research (12 papers), Chronic Myeloid Leukemia Treatments (9 papers), Chronic Lymphocytic Leukemia Research (5 papers), RNA Interference and Gene Delivery (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Hematology (2.6k citations), Genetics (1.0k citations) and Public Health, Environmental and Occupational Health (1.5k citations). J Gäbert has collaborated with scholars based in France, Switzerland and Netherlands. Frequent co-authors include Jacques J. M. van Dongen, Vincent H. J. van der Velden, Giuseppe Saglio, Giovanni Cazzaniga, Emmanuel Beillard, Marcos González, M Malec, Niels Pallisgaard, Enrico Gottardi and Éric Delabesse. Their work appears in journals such as Leukemia, Blood, British Journal of Haematology, The Journal of Immunology 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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