Pit Ullmann

1.6k citations
11 papers · 1.2k · 1 hit paper · h-index 11

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

    • Cancer, Hypoxia, and Metabolism 3
    • MicroRNA in disease regulation 3
    • Cancer Genomics and Diagnostics 1
    • Cancer Cells and Metastasis 8

Pit Ullmann

11 papers receiving 1.2k citations

Pit Ullmann's Hit Papers

In search of definitions: Cancer‐associated fibroblasts and their markers 2019 · 553 citations
5530+2+4Years since publication100200300400500

Peers

Pit Ullmann
Comparison fields: 5 of 84
  • Cancer Research 423
  • Oncology 513
  • Molecular Biology 571
  • Immunology 163
  • Biotechnology 43
Replace Fabien Rodriguez with:
Fabien Rodriguez Luxembourg
Jichao Qin China
Yu‐Ting Chou Taiwan
Pin Yi China
Daniel A. Triner United States
Zhennan Yuan China
Zhenlin Hou China
Jonathan Forrest Anker United States
Ting Wei China
Pit Ullmann relative to Fabien Rodriguez Luxembourg Fabien Rodriguez's profile →
Citations per field
00.5×1.5×
Fabien Rodriguez · 1×
Citations per year

Countries citing papers authored by Pit Ullmann

Since Specialization
Citations

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

Fields of papers citing papers by Pit Ullmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
In search of definitions: Cancer‐associated fibroblasts and their markers
Hit paper breakdown →
2019553
2 2019153
3 202387
4 201781
5 201978
6 201970
7 201651
8 201650
9 201950
10 201839
11 201735

About Pit Ullmann

Pit Ullmann is a scholar working on Cancer Research, Oncology, Molecular Biology, Pharmacology and Biotechnology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Cancer, Hypoxia, and Metabolism (3 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers), Cancer Genomics and Diagnostics (1 paper), Cancer Research and Treatments (1 paper), RNA modifications and cancer (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Cancer Research (423 citations), Oncology (513 citations), Molecular Biology (571 citations), Immunology (163 citations) and Biotechnology (43 citations). Pit Ullmann has collaborated with scholars based in Luxembourg, Germany and Austria. Frequent co-authors include Elisabeth Letellier, Serge Haan, Fabien Rodriguez, Martin Nurmik, Komal Qureshi-Baig, Sónia Frasquilho, Martine Schmitz, Petr V. Nazarov, Laurent Antunes and Nikolaus Zuegel. Their work appears in journals such as Nature Communications, Oncotarget, Autophagy, Cells and Molecular 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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