Philipp Nitschke

30 papers receiving 710 citations

Peers

Philipp Nitschke
Comparison fields: 5 of 82
  • Biological Psychiatry 32
  • Infectious Diseases 148
  • Neurology 69
  • Pharmaceutical Science 28
  • Spectroscopy 70
Replace José C. Páez-Franco with:
José C. Páez-Franco Mexico
Chris Ling United States
Shichao Lv China
Kiel D. Neumann United States
Xiumei Wu China
Shengli Ma China
Hai Yuan China
Jean-Robert Deverre France
Steve K. Teo Switzerland
Chang Hyun Oh South Korea
Philipp Nitschke relative to José C. Páez-Franco Mexico José C. Páez-Franco's profile →
Citations per field
00.5×10×15.7×
José C. Páez-Franco · 1×
Citations per year

Countries citing papers authored by Philipp Nitschke

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Nitschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020129
2 201968
3 202167
4 201859
5 202146
6 202039
7 201638
8 202134
9 202034
10 201829
11 202125
12 201820
13 202220
14 202315
15 202214
16 201814
17 201612
18 20198
19 20158
20 20256

About Philipp Nitschke

Philipp Nitschke is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Organic Chemistry and Neurology, having authored 32 papers that have together received 714 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (13 papers), Liver Disease Diagnosis and Treatment (8 papers), Radical Photochemical Reactions (5 papers), COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Photoreceptor and optogenetics research (3 papers) and Infectious Encephalopathies and Encephalitis (3 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Infectious Diseases (148 citations), Neurology (69 citations), Pharmaceutical Science (28 citations) and Spectroscopy (70 citations). Philipp Nitschke has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Ruth M. Gschwind, Jeremy K. Nicholson, Samantha Lodge, Elaine Holmes, Sze-How Bong, N. Lokesh, Torben Kimhofer, Ruey Leng Loo, Toby Richards and Sofina Begum. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, International Journal of Molecular Sciences, Pancreatology and Angewandte Chemie International Edition.

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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