M. Pabst

23.5k citations
109 papers · 21.0k indexed · 3 hit papers · h-index 36

M. Pabst

103 papers receiving 20.0k citations

Hit Papers

Removal of endotoxin from protein solutions by phase sepa...50419742026199120085.0k10.0k15.0k

Peers

M. Pabst
Comparison fields: 5 of 172
  • Pharmacology 3.0k
  • Health, Toxicology and Mutagenesis 4.2k
  • Biochemistry 1.2k
  • Pollution 1.8k
  • Nutrition and Dietetics 2.1k
Replace William H. Habig with:
William H. Habig United States
Steven D. Aust United States
William B. Jakoby United States
Nico Vermeulen Netherlands
Joe M. McCord United States
Bengt Mannervik Sweden
Hiroshi Ohkawa Japan
Nobuko Ohishi Japan
Takashi Sügimura Japan
Stefan L. Marklund Sweden
M. Pabst relative to William H. Habig United States William H. Habig's profile →
Citations per field
00.5×1.5×
William H. Habig · 1×
Citations per year

Countries citing papers authored by M. Pabst

Since Specialization
Citations

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

Fields of papers citing papers by M. Pabst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20174
3 200829
4 200455
5 200448
6 2003163
7 199943
8 199916
9 19982
10 199811
11
Serine protease inhibitors block priming of monocytes for enhanced release of superoxide.
199521
12 1995160
13 19921
14
Removal of endotoxin from protein solutions by phase separation using triton X-114breakdown →
1990504
15 198814
16 1988109
17 19885
18 1980100
19 1980313
20 1976188

About M. Pabst

M. Pabst is a scholar working on Immunology, Periodontics and Neurology, having authored 109 papers that have together received 21.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (22 papers), Particle accelerators and beam dynamics (19 papers), S100 Proteins and Annexins (15 papers), Particle Accelerators and Free-Electron Lasers (14 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers), Plasma Diagnostics and Applications (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Glutathione Transferases and Polymorphisms (6 papers). The work is most often cited by research in Pharmacology (3.0k citations), Health, Toxicology and Mutagenesis (4.2k citations) and Biochemistry (1.2k citations). M. Pabst has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include William B. Jakoby, William H. Habig, Yoshitomi Aida, Richard B. Johnston, R B Johnston, G Fleischner, Zenaida Gatmaitan, Irwin M. Arias, Y Aida and Wayne A. Phillips. Their work appears in journals such as The Journal of Immunology, Journal of Leukocyte Biology, Journal of Biological Chemistry, Advances in experimental medicine and biology and Infection and Immunity.

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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