Geert Baggerman

7.4k citations
168 papers · 6.0k · h-index 40

Impact in

Papers in

Geert Baggerman

165 papers receiving 5.8k citations

Peers

Geert Baggerman
Comparison fields: 5 of 143
  • Aging 362
  • Cellular and Molecular Neuroscience 2.5k
  • Insect Science 1.1k
  • Spectroscopy 921
  • Microbiology 306
Replace Peter Verhaert with:
Peter Verhaert Belgium
Ronald J. Nachman United States
Elke Clynen Belgium
Robert J. Beynon United Kingdom
Arnold De Loof Belgium
Thomas Werner Germany
Joseph Horwitz United States
Jozef Vanden Broeck Belgium
Liliane Schoofs Belgium
Osamu Nishimura Japan
Geert Baggerman relative to Peter Verhaert Belgium Peter Verhaert's profile →
Citations per field
00.5×2.9×
Peter Verhaert · 1×
Citations per year

Countries citing papers authored by Geert Baggerman

Since Specialization
Citations

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

Fields of papers citing papers by Geert Baggerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006260
2 1999226
3 2002225
4 2005148
5 2014135
6 2018134
7 2004124
8 2003121
9 2001119
10 2001118
11 2006111
12 2003111
13 2000110
14 2005108
15 2005107
16 2002102
17 201690
18 200389
19 201387
20 201085

About Geert Baggerman

Geert Baggerman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Spectroscopy, Insect Science and Genetics, having authored 168 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (50 papers), Advanced Proteomics Techniques and Applications (41 papers), Mass Spectrometry Techniques and Applications (29 papers), Insect and Arachnid Ecology and Behavior (17 papers), Metabolomics and Mass Spectrometry Studies (17 papers), Insect Resistance and Genetics (16 papers), Invertebrate Immune Response Mechanisms (16 papers) and Protein Hydrolysis and Bioactive Peptides (16 papers). The work is most often cited by research in Aging (362 citations), Cellular and Molecular Neuroscience (2.5k citations), Insect Science (1.1k citations), Spectroscopy (921 citations) and Microbiology (306 citations). Geert Baggerman has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Liliane Schoofs, Arnold De Loof, Elke Clynen, Peter Verleyen, Jurgen Huybrechts, Anja Cerstiaens, Kurt Boonen, Evy Vierstraete, Steven Husson and Inge Mertens. Their work appears in journals such as Peptides, Biochemical and Biophysical Research Communications, Journal of Proteome Research, European Journal of Biochemistry and Journal of Insect Physiology.

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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