Daniel Reimer

3.5k citations
79 papers · 2.5k indexed · h-index 27

Impact in

Papers in

Daniel Reimer

77 papers receiving 2.5k citations

Peers

Daniel Reimer
Comparison fields: 5 of 129
  • Cellular and Molecular Neuroscience 642
  • Reproductive Medicine 257
  • Cancer Research 394
  • Molecular Biology 1.7k
  • Oncology 593
Replace Kazuhiro Ogi with:
Kazuhiro Ogi Japan
Ricardo Martínez United States
Lieve Umans Belgium
Dalil Hamroun France
Sergey V. Shmelkov United States
Daniel J. Knauer United States
Michelle Russell United States
Simon J. Rhodes United States
Benjamin B. Roa United States
Dicky Halley Netherlands
Daniel Reimer relative to Kazuhiro Ogi Japan Kazuhiro Ogi's profile →
Citations per field
00.5×3.1×
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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001357
2 2003353
3 2003104
4 199791
5 200791
6 200384
7 201074
8 200572
9 201770
10 201470
11 201667
12 201067
13 201656
14 200656
15 201149
16 201545
17 199645
18 201244
19 200439
20 201138

About Daniel Reimer

Daniel Reimer is a scholar working on Molecular Biology, Reproductive Medicine, Oncology, Cancer Research and Surgery, having authored 79 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (31 papers), Endometrial and Cervical Cancer Treatments (8 papers), RNA modifications and cancer (8 papers), Cancer-related Molecular Pathways (7 papers), Intraperitoneal and Appendiceal Malignancies (7 papers), Ion channel regulation and function (7 papers), Cancer Research and Treatments (5 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (642 citations), Reproductive Medicine (257 citations), Cancer Research (394 citations), Molecular Biology (1.7k citations) and Oncology (593 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 Matteo E. Mangoni. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Cancer, Annals of Oncology, Journal of Organizational Behavior Management 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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