Daniel Rapp

760 citations
16 papers · 453 · h-index 9

Impact in

Papers in

Daniel Rapp

16 papers receiving 448 citations

Peers

Daniel Rapp
Comparison fields: 5 of 80
  • Developmental Neuroscience 24
  • Health 47
  • Pathology and Forensic Medicine 95
  • Complementary and alternative medicine 34
  • Emergency Medicine 24
Replace Cuong J. Bui with:
Cuong J. Bui United States
Rui Magalhães Portugal
Byung Moon Cho South Korea
SEAN M. FERRELL United States
Jennifer Smrtka United States
Claire Duflos France
Dimitrios Papadopoulos Greece
Alon Ben-Ari United States
Antonio Montoto-Marqués Spain
Daniel Rapp relative to Cuong J. Bui United States Cuong J. Bui's profile →
Citations per field
00.5×8.5×
Cuong J. Bui · 1×
Citations per year

Countries citing papers authored by Daniel Rapp

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
AXONAL TRANSECTION IN THE LESIONS OF MULTIPLE SCLEROSIS
1998114
2 201884
3 201262
4 201662
5 201736
6 202028
7 202116
8 201715
9 201711
10 20208
11 20226
12 20205
13
T-cell receptor expression in lymphoid neoplasms. A comparison of phenotypic expression and genotyping.
19943
14 20231
15 20161
16 20181

About Daniel Rapp

Daniel Rapp is a scholar working on Pathology and Forensic Medicine, Surgery, Neurology, Cardiology and Cardiovascular Medicine and Immunology, having authored 16 papers that have together received 453 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (3 papers), Mechanical Circulatory Support Devices (2 papers), Immune Cell Function and Interaction (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper), Cardiovascular and exercise physiology (1 paper), Mosquito-borne diseases and control (1 paper), Hemodynamic Monitoring and Therapy (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Developmental Neuroscience (24 citations), Health (47 citations), Pathology and Forensic Medicine (95 citations), Complementary and alternative medicine (34 citations) and Emergency Medicine (24 citations). Daniel Rapp has collaborated with scholars based in Germany and United States. Frequent co-authors include Stefan Wagenpfeil, Jürgen Scharhag, Johannes Scholl, Alexander Krämer, M. M. H. Khan, Robert Bals, Philipp M. Lepper, Christian Lensch, Frank Langer and Franziska Trudzinski. Their work appears in journals such as BMC Public Health, BMC Neurology, Annals of Intensive Care, BMJ Open and PLoS ONE.

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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