Florian Perner

2.7k citations
26 papers · 471 · h-index 10

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Protein Degradation and Inhibitors 9
    • Kruppel-like factors research 4
    • Epigenetics and DNA Methylation 4
    • Genomics and Chromatin Dynamics 2
    • Acute Myeloid Leukemia Research 13

Florian Perner

25 papers receiving 470 citations

Peers

Florian Perner
Comparison fields: 5 of 59
  • Hematology 238
  • Genetics 124
  • Molecular Biology 293
  • Cancer Research 47
  • Rheumatology 38
Replace L.R. Silverman with:
L.R. Silverman United States
Emanuela Messa Italy
Katalin Csermak Switzerland
Fiorella Schischlik United States
Tianna Dauses United States
Qitian Mu China
K Kagami Japan
Antonella Russo Rossi Italy
Luana Bavaro Italy
Youwen Qin China
Florian Perner relative to L.R. Silverman United States L.R. Silverman's profile →
Citations per field
00.5×10×20×33.8×
L.R. Silverman · 1×
Citations per year

Countries citing papers authored by Florian Perner

Since Specialization
Citations

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

Fields of papers citing papers by Florian Perner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019167
2 202182
3 202241
4 202038
5 201929
6 202020
7 202512
8 201712
9 202012
10 202210
11 20237
12 20246
13 20256
14 20165
15 20245
16 20235
17 20214
18 20222
19 20172
20 20251

About Florian Perner

Florian Perner is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Immunology, having authored 26 papers that have together received 471 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Protein Degradation and Inhibitors (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Kruppel-like factors research (4 papers), Epigenetics and DNA Methylation (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Hematology (238 citations), Genetics (124 citations), Molecular Biology (293 citations), Cancer Research (47 citations) and Rheumatology (38 citations). Florian Perner has collaborated with scholars based in Germany, United States and Türkiye. Frequent co-authors include Florian H. Heidel, Thomas Ernst, Caroline Perner, Scott A. Armstrong, Charlie Hatton, Yanhe Wen, Anilkumar Gopalakrishnapillai, Yana Pikman, Gerard M. McGeehan and Haiming Xu. Their work appears in journals such as Blood, Leukemia, Cells, International Journal of Cancer and HemaSphere.

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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