Philipp Nitschke

1.2k citations
28 papers · 660 · h-index 14

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 12
    • Liver Disease Diagnosis and Treatment 8
    • Neuroendocrine Tumor Research Advances 3

Philipp Nitschke

26 papers receiving 655 citations

Peers

Philipp Nitschke
Comparison fields: 5 of 78
  • Biological Psychiatry 39
  • Infectious Diseases 171
  • Neurology 96
  • Pharmaceutical Science 28
  • Molecular Biology 272
Replace José C. Páez-Franco with:
José C. Páez-Franco Mexico
Sean X. Gu United States
Chris Ling United States
Petter‐Arnt Hals Norway
Saeyoung Nate Ahn South Korea
Kiel D. Neumann United States
Maria I. Indeykina Russia
Miles G. Choc United States
Shigeaki Nakazawa Japan
Giuseppe Di Natale Italy
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Citations per field
00.5×10×15.3×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020125
2 202164
3 201963
4 201854
5 202143
6 202038
7 201637
8 202134
9 202033
10 201828
11 202125
12 201820
13 202217
14 201814
15 202313
16 201612
17 202211
18 20198
19 20235
20 20244

About Philipp Nitschke

Philipp Nitschke is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Neurology and Organic Chemistry, having authored 28 papers that have together received 660 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (12 papers), Liver Disease Diagnosis and Treatment (8 papers), Long-Term Effects of COVID-19 (5 papers), COVID-19 Clinical Research Studies (5 papers), Radical Photochemical Reactions (5 papers), Pancreatitis Pathology and Treatment (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Infectious Diseases (171 citations), Neurology (96 citations), Pharmaceutical Science (28 citations) and Molecular Biology (272 citations). Philipp Nitschke has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Ruth M. Gschwind, Elaine Holmes, Samantha Lodge, Jeremy K. Nicholson, Sze-How Bong, Torben Kimhofer, Ruey Leng Loo, N. Lokesh, Toby Richards and Sofina Begum. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, International Journal of Molecular Sciences, Clinical Chemistry and Laboratory Medicine (CCLM) and The Analyst.

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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