Daniel Speidel

1.8k citations
18 papers · 1.4k indexed · h-index 15
  • Oncology top 5%
    • Cancer-related Molecular Pathways 13
    • Cell death mechanisms and regulation 6
    • Ubiquitin and proteasome pathways 5
    • DNA Repair Mechanisms 2
    • Histone Deacetylase Inhibitors Research 2
    • Epigenetics and DNA Methylation 2
    • Protein Degradation and Inhibitors 2
    • Cancer Research and Treatments 4
  • Cell Biology top 10%

Daniel Speidel

18 papers receiving 1.4k citations

Peers

Daniel Speidel
Comparison fields: 5 of 100
  • Oncology 630
  • Cancer Research 250
  • Molecular Biology 971
  • Biotechnology 119
  • Cell Biology 126
Replace Larissa S. Agapova with:
Larissa S. Agapova Russia
A. Pieter J. van den Heuvel United States
J. E. Kravchenko Russia
Sonja Wolff Germany
Helena L. Borges Brazil
Eiji Iwado United States
Jong Kuk Park South Korea
Baskaran Rajasekaran United States
Vanesa Gottifredi Argentina
Daniel Speidel relative to Larissa S. Agapova Russia Larissa S. Agapova's profile →
Citations per field
00.5×1.6×
Larissa S. Agapova · 1×
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-authorship network

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 20251
2 20176
3 2015137
4 201522
5 201422
6 201416
7 201219
8 2011149
9 20118
10 2010119
11 201024
12 2009291
13 200732
14 200753
15 200548
16 2005389
17 200516
18 200564

About Daniel Speidel

Daniel Speidel is a scholar working on Oncology, Biotechnology and Molecular 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), Histone Deacetylase Inhibitors Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Oncology (630 citations), Cancer Research (250 citations) and Molecular Biology (971 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, Nadine Löschmann and Franz Rödel. Their work appears in journals such as Cell Death and Disease, Oncogene, Cell Cycle, Current Opinion in Cell Biology and Frontiers in Oncology.

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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