Carmen Rapp

942 citations
15 papers · 718 · h-index 12

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Glioma Diagnosis and Treatment 4
    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 2

Carmen Rapp

15 papers receiving 715 citations

Peers

Carmen Rapp
Comparison fields: 5 of 65
  • Genetics 252
  • Neurology 86
  • Immunology 216
  • Cancer Research 115
  • Oncology 146
Replace Mianfu Cao with:
Mianfu Cao China
Saskia Roesch Germany
Marcel van der Weiden Netherlands
Francesca Lodi Belgium
Nicolas Noel Neidert Germany
Ningyi Tiao United States
Álvaro Otero Spain
Konstantina Kapolou Germany
Raquel Blazquez Germany
Monica Patanè Italy
Carmen Rapp relative to Mianfu Cao China Mianfu Cao's profile →
Citations per field
00.5×2×2.7×
Mianfu Cao · 1×
Citations per year

Countries citing papers authored by Carmen Rapp

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Rapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018256
2 201878
3 201968
4 201567
5 201943
6 201639
7 202031
8 202331
9 201928
10 201825
11 201724
12 202015
13 20197
14 20153
15 20163

About Carmen Rapp

Carmen Rapp is a scholar working on Genetics, Oncology, Immunology, Epidemiology and Neurology, having authored 15 papers that have together received 718 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (4 papers), Glioma Diagnosis and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (2 papers), Immunotherapy and Immune Responses (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), MicroRNA in disease regulation (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Genetics (252 citations), Neurology (86 citations), Immunology (216 citations), Cancer Research (115 citations) and Oncology (146 citations). Carmen Rapp has collaborated with scholars based in Germany and United States. Frequent co-authors include Christel C. Herold‐Mende, Steffen Dettling, Saskia Roesch, Rolf Warta, Amir Abdollahi, Christine Jungk, Andreas Wilhelm Unterberg, Andreas von Deimling, Maximilian Knoll and Jürgen Debus. Their work appears in journals such as Clinical Cancer Research, Acta Neuropathologica, International Journal of Molecular Sciences, Neuro-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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