Daniel Reimer

3.5k citations
82 papers · 2.6k · h-index 27

Impact in

Papers in

    • Ion channel regulation and function 7
    • RNA modifications and cancer 7
    • Cancer-related Molecular Pathways 7
    • Cancer Cells and Metastasis 5

Daniel Reimer

80 papers receiving 2.6k citations

Peers

Daniel Reimer
Comparison fields: 5 of 129
  • Cellular and Molecular Neuroscience 657
  • Reproductive Medicine 199
  • Cardiology and Cardiovascular Medicine 504
  • Cancer Research 335
  • Sensory Systems 112
Replace Kazuhiro Ogi with:
Kazuhiro Ogi Japan
Dalil Hamroun France
James P. Fandl United States
Lieve Umans Belgium
Ricardo Martínez United States
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Helger G. Yntema Netherlands
Claudia A. Landis United States
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Daniel Reimer relative to Kazuhiro Ogi Japan Kazuhiro Ogi's profile →
Citations per field
00.5×2×4×6×7.1×
Kazuhiro Ogi · 1×
Citations per year

Countries citing papers authored by Daniel Reimer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Reimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001378
2 2003376
3 2003108
4 199798
5 200791
6 200389
7 201081
8 200575
9 201072
10 201472
11 201770
12 201669
13 201662
14 200657
15 201552
16 201151
17 201245
18 199645
19 200443
20 201239

About Daniel Reimer

Daniel Reimer is a scholar working on Molecular Biology, Oncology, Reproductive Medicine, Cancer Research and Obstetrics and Gynecology, having authored 82 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (19 papers), Cancer-related Molecular Pathways (7 papers), Ion channel regulation and function (7 papers), RNA modifications and cancer (7 papers), Endometrial and Cervical Cancer Treatments (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Cancer Cells and Metastasis (5 papers) and Intraperitoneal and Appendiceal Malignancies (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (657 citations), Reproductive Medicine (199 citations), Cardiology and Cardiovascular Medicine (504 citations), Cancer Research (335 citations) and Sensory Systems (112 citations). Daniel Reimer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Jörg Striessnig, Alain G. Zeimet, Christian Marth, Manfred Grabner, Alexandra Koschak, Hartmut Glossmann, Irene Huber, Nicole Concin, Jutta Engel and Brigitte Couette. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Cancer, Journal of Organizational Behavior Management, Annals of Oncology and Oncotarget.

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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