Martin Pabst

6.3k citations
134 papers · 4.5k indexed · h-index 37

Impact in

  • Biotechnology top 0.2%
    • Transgenic Plants and Applications
    • Glycosylation and Glycoproteins Research
    • Plant tissue culture and regeneration

Papers in

Martin Pabst

129 papers receiving 4.4k citations

Peers

Martin Pabst
Comparison fields: 5 of 140
  • Biotechnology 1.1k
  • Molecular Biology 3.0k
  • Spectroscopy 605
  • Pollution 411
  • Immunology 735
Replace Mitsuyoshi Ueda with:
Mitsuyoshi Ueda Japan
Yuan C. Lee United States
Wim J. Quax Netherlands
Bunzo Mikami Japan
Uwe Linne Germany
Robert B. Freedman United Kingdom
Nikolay E. Nifantiev Russia
Akio Kuroda Japan
Shigenori Kanaya Japan
Gakuzo Tamura Japan
Martin Pabst relative to Mitsuyoshi Ueda Japan Mitsuyoshi Ueda's profile →
Citations per field
00.5×1.5×2.2×
Mitsuyoshi Ueda · 1×
Citations per year

Countries citing papers authored by Martin Pabst

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pabst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20252
4 20241
5 20248
6 202412
7 20241
8 20242
9 202311
10 202318
11 20239
12 202215
13 202226
14 202253
15 202119
16 202123
17 202098
18 201369
19 20112
20 200862

About Martin Pabst

Martin Pabst is a scholar working on Biotechnology, Pollution, Spectroscopy, Molecular Biology and Ecology, having authored 134 papers that have together received 4.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (34 papers), Wastewater Treatment and Nitrogen Removal (22 papers), Microbial Community Ecology and Physiology (19 papers), Carbohydrate Chemistry and Synthesis (17 papers), Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Genomics and Phylogenetic Studies (13 papers). The work is most often cited by research in Biotechnology (1.1k citations), Molecular Biology (3.0k citations), Spectroscopy (605 citations), Pollution (411 citations) and Immunology (735 citations). Martin Pabst has collaborated with scholars based in Netherlands, Austria and Switzerland. Frequent co-authors include Friedrich Altmann, Johannes Stadlmann, Richard Strasser, Lukas Mach, Daniel Kolarich, Renate Kunert, Herta Steinkellner, Josephine Grass, Mark C.M. van Loosdrecht and Renaud Léonard. Their work appears in journals such as Water Research, Journal of Biological Chemistry, Analytical Chemistry, The ISME Journal and Glycobiology.

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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