Gabriele Ihorst

10.7k citations
199 papers · 5.9k · h-index 41

Impact in

  • Hematology top 0.5%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 1%

Papers in

    • Multiple Myeloma Research and Treatments 57
    • Hematopoietic Stem Cell Transplantation 27
    • Acute Myeloid Leukemia Research 23
    • Cancer Treatment and Pharmacology 17

Gabriele Ihorst

190 papers receiving 5.7k citations

Peers

Gabriele Ihorst
Comparison fields: 5 of 142
  • Hematology 1.5k
  • Genetics 657
  • Oncology 1.2k
  • Pathology and Forensic Medicine 752
  • Neurology 621
Replace Grzegorz Mazur with:
Grzegorz Mazur Poland
Joan M. Bathon United States
Bruno Mario Cesana Italy
Willem F. Lems Netherlands
Guy van Melle Switzerland
Andreas Gleiß Austria
Eloísa Bonfá Brazil
Anil Nanda United States
Boulos Haraoui Canada
Jérémie Sellam France
Gabriele Ihorst relative to Grzegorz Mazur Poland Grzegorz Mazur's profile →
Citations per field
00.5×5.9×
Grzegorz Mazur · 1×
Citations per year

Countries citing papers authored by Gabriele Ihorst

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Ihorst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010396
2 2004370
3 2006210
4 2005210
5 2005194
6 2014180
7 2017178
8 2012154
9 2012139
10 2016124
11 1999118
12 201198
13 200895
14 201194
15 201193
16 200492
17 201187
18 200486
19 200585
20 201982

About Gabriele Ihorst

Gabriele Ihorst is a scholar working on Hematology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 199 papers that have together received 5.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (57 papers), Hematopoietic Stem Cell Transplantation (27 papers), Acute Myeloid Leukemia Research (23 papers), Cancer Treatment and Pharmacology (17 papers), CNS Lymphoma Diagnosis and Treatment (11 papers), Acute Lymphoblastic Leukemia research (11 papers), Asthma and respiratory diseases (10 papers) and Protein Degradation and Inhibitors (8 papers). The work is most often cited by research in Hematology (1.5k citations), Genetics (657 citations), Oncology (1.2k citations), Pathology and Forensic Medicine (752 citations) and Neurology (621 citations). Gabriele Ihorst has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Monika Engelhardt, Hartmut Bertz, Ralph Wäsch, Jürgen Finke, Roland Mertelsmann, A. M�ller, Martina Kleber, Johannes Förster, Martin Schumacher and Thomas Wesarg. Their work appears in journals such as Blood, Annals of Hematology, Bone Marrow Transplantation, Haematologica and BMC Cancer.

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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