Daniel Speidel

1.8k citations
18 papers · 1.4k · h-index 15

Impact in

Papers in

    • Cell death mechanisms and regulation 6
    • Ubiquitin and proteasome pathways 5
    • DNA Repair Mechanisms 2
    • Epigenetics and DNA Methylation 2
    • Protein Degradation and Inhibitors 2
    • Histone Deacetylase Inhibitors Research 2
    • Cancer-related Molecular Pathways 13

Daniel Speidel

18 papers receiving 1.4k citations

Peers

Daniel Speidel
Comparison fields: 5 of 97
  • Oncology 587
  • Cancer Research 225
  • Molecular Biology 901
  • Biotechnology 109
  • Geriatrics and Gerontology 27
Replace Angelina V. Vaseva with:
Angelina V. Vaseva United States
Larissa S. Agapova Russia
J. E. Kravchenko Russia
Sonja Wolff Germany
Eiji Iwado United States
Andrzej K. Bednarek Poland
Isabella Manni Italy
Baskaran Rajasekaran United States
Zhe Jiang China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Speidel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Speidel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005386
2 2009293
3 2011149
4 2015140
5 2010121
6 200563
7 200753
8 200549
9 200732
10 201025
11 201522
12 201422
13 201219
14 200516
15 201416
16 20118
17 20176
18 20251

About Daniel Speidel

Daniel Speidel is a scholar working on Molecular Biology, Oncology, Biotechnology, Genetics and Cell Biology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), Cell death mechanisms and regulation (6 papers), Ubiquitin and proteasome pathways (5 papers), Cancer Research and Treatments (4 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Protein Degradation and Inhibitors (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Oncology (587 citations), Cancer Research (225 citations), Molecular Biology (901 citations), Biotechnology (109 citations) and Geriatrics and Gerontology (27 citations). Daniel Speidel has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Wolfgang Deppert, Ute M. Moll, Sonja Wolff, Christina Heinlein, Martin Michaelis, Jindřich Činátl, Jürgen Löhler, Florian Rothweiler, Yvonne Voges and Rainer Breitling. Their work appears in journals such as Cell Death and Disease, Oncogene, Cell Cycle, Cancer Letters and Biochemical Society Transactions.

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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