Philipp Arnold

77 papers receiving 1.6k citations

Philipp Arnold's Hit Papers

Detection of neuron-derived pathological α-synuclein in blood 2022 · 150 citations
1500+1+2Years since publication50100150

Peers

Philipp Arnold
Comparison fields: 5 of 121
  • Immunology and Allergy 172
  • Cancer Research 252
  • Neurology 112
  • Neurology 194
  • Cell Biology 183
Replace Ahuva Nissim with:
Ahuva Nissim United Kingdom
Daisuke Nagakubo Japan
Michelle C. Mendoza United States
Astrid Schauß Germany
Kristopher Clark United Kingdom
Wenlu Li China
Chung‐Hsing Chang Taiwan
Tzeng‐Horng Leu Taiwan
Enrique Zudaire United States
Akio Masuda Japan
Philipp Arnold relative to Ahuva Nissim United Kingdom Ahuva Nissim's profile →
Citations per field
00.5×2.5×
Ahuva Nissim · 1×
Citations per year

Countries citing papers authored by Philipp Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detection of neuron-derived pathological α-synuclein in blood
Hit paper breakdown →
2022150
2 2013118
3 201570
4 202063
5 201652
6 201746
7 201841
8 201839
9 201939
10 201939
11 202134
12 202033
13 201433
14 201733
15 201432
16 201531
17 202231
18 201831
19 201629
20 201929

About Philipp Arnold

Philipp Arnold is a scholar working on Molecular Biology, Immunology and Allergy, Cell Biology, Cancer Research and Physiology, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (18 papers), Protease and Inhibitor Mechanisms (11 papers), Cellular transport and secretion (10 papers), Lysosomal Storage Disorders Research (10 papers), Extracellular vesicles in disease (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Immunology and Allergy (172 citations), Cancer Research (252 citations), Neurology (112 citations), Neurology (194 citations) and Cell Biology (183 citations). Philipp Arnold has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christoph Becker‐Pauly, Friederike Zunke, Ralph Lucius, Johannes Prox, Daniela Berg, Annika Kluge, Eva Schaeffer, Andreas Tholey, François Cossais and Tomáš Koudelka. Their work appears in journals such as The FASEB Journal, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Frontiers in Cell and Developmental Biology, International Journal of Molecular Sciences and Advanced Science.

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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