Daniel Rein

2.0k citations
49 papers · 1.4k · h-index 22

Impact in

    • Gynecological conditions and treatments
    • Endometrial and Cervical Cancer Treatments
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • Virus-based gene therapy research 18
    • RNA Interference and Gene Delivery 5
    • Viral Infectious Diseases and Gene Expression in Insects 4

Daniel Rein

48 papers receiving 1.4k citations

Peers

Daniel Rein
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 321
  • Genetics 485
  • Reproductive Medicine 132
  • Oncology 384
  • Biotechnology 104
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Citations per field
00.5×2×3×3.7×
Mitsuo Yoshinouchi · 1×
Citations per year

Countries citing papers authored by Daniel Rein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008122
2 2011111
3 200693
4 200888
5 200673
6 200369
7 200464
8 200251
9 200943
10 200443
11 200142
12 200641
13 200139
14 200438
15 200536
16 200435
17 200432
18 200630
19 200828
20 200927

About Daniel Rein

Daniel Rein is a scholar working on Genetics, Molecular Biology, Oncology, Obstetrics and Gynecology and Reproductive Medicine, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), CAR-T cell therapy research (6 papers), Endometriosis Research and Treatment (5 papers), RNA Interference and Gene Delivery (5 papers), Endometrial and Cervical Cancer Treatments (5 papers), Cancer Research and Treatments (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Obstetrics and Gynecology (321 citations), Genetics (485 citations), Reproductive Medicine (132 citations), Oncology (384 citations) and Biotechnology (104 citations). Daniel Rein has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Martina Breidenbach, David T. Curiel, Christian M. Kurbacher, Thomas Schöndorf, Torsten C. Schmidt, Monika Hampl, Peter Mallmann, Minghui Wang, Hans Bender and Juergen A. Hampl. Their work appears in journals such as Anti-Cancer Drugs, Clinical Cancer Research, Gynecologic Oncology, Journal of Minimally Invasive Gynecology and Cytokine.

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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