Jutta Proba

762 citations
6 papers · 342 · h-index 6

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Cytokine Signaling Pathways and Interactions 1
    • Cancer-related Molecular Pathways 1
    • Acute Myeloid Leukemia Research 2
    • Chronic Myeloid Leukemia Treatments 2

Jutta Proba

6 papers receiving 336 citations

Peers

Jutta Proba
Comparison fields: 5 of 38
  • Hematology 124
  • Genetics 64
  • Oncology 131
  • Immunology 103
  • Cancer Research 46
Replace Gurveen Saberwal with:
Gurveen Saberwal United States
Paula de Melo Campos Brazil
Melanie Thiede Germany
Tekla Hornakova Belgium
W. M. C. Geertsma-Kleinekoort Netherlands
Nisha Shah United States
Lemlem Alemu United States
Rika Kanezaki Japan
Jean‐Loup Huret France
Sofia von Palffy Sweden
Jutta Proba relative to Gurveen Saberwal United States Gurveen Saberwal's profile →
Citations per field
00.5×
Gurveen Saberwal · 1×
Citations per year

Countries citing papers authored by Jutta Proba

Since Specialization
Citations

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

Fields of papers citing papers by Jutta Proba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 1998170
2 201765
3 200052
4 200036
5 199812
6 20227

About Jutta Proba

Jutta Proba is a scholar working on Oncology, Hematology, Genetics, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 6 papers that have together received 342 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Cancer-related Molecular Pathways (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Hematology (124 citations), Genetics (64 citations), Oncology (131 citations), Immunology (103 citations) and Cancer Research (46 citations). Jutta Proba has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Manuel Schmidt, Burghardt Wittig, Andreas Neubauer, Frank Rosenbauer, Christian Thiede, Stefan Nagel, Markus Ritter, D. Huhn, Ivan D. Horak and Jeffrey F. Waring. Their work appears in journals such as Blood, Journal of Clinical Oncology, EMBO Molecular Medicine, Leukemia and Oncotarget.

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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