Benjamin L. Schulz
Impact in
- Molecular Biology top 2%
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
- Microbiology top 2%
Papers in
-
- Glycosylation and Glycoproteins Research 46
- Genomics and Phylogenetic Studies 10
- Spectroscopy 24
- Advanced Proteomics Techniques and Applications 19
- Mass Spectrometry Techniques and Applications 8
- Co-authors
- Nicolle H. Packer (11 shared papers)Niclas G. Karlsson (10 shared papers)Markus Aebi (8 shared papers)Lucía F. Zacchi (14 shared papers)Walter Durka (3 shared papers)R. Lutz Eckstein (3 shared papers)Shin Numao (3 shared papers)Ulla‐Maja Bailey (11 shared papers)
- Journals
- Scientific Reports (8 papers)Journal of Proteome Research (8 papers)Biochemical and Biophysical Research Communications (7 papers)Molecular & Cellular Proteomics (6 papers)Analytical Biochemistry (6 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Benjamin L. Schulz
168 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 153
- Molecular Biology 2.9k
- Microbiology 239
- Spectroscopy 549
- Endocrinology 166
- Cell Biology 463
Countries citing papers authored by Benjamin L. Schulz
This map shows the geographic impact of Benjamin L. Schulz'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 Benjamin L. Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin L. Schulz more than expected).
Fields of papers citing papers by Benjamin L. Schulz
This network shows the impact of papers produced by Benjamin L. Schulz. 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 Benjamin L. Schulz. The network helps show where Benjamin L. Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin L. Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 283 | |
| 2 | 2002 | 180 | |
| 3 | 2006 | 180 | |
| 4 | 2010 | 146 | |
| 5 | 2016 | 140 | |
| 6 | 2013 | 135 | |
| 7 | 2013 | 115 | |
| 8 | 2004 | 110 | |
| 9 | 2002 | 109 | |
| 10 | 2009 | 105 | |
| 11 | 1993 | 101 | |
| 12 | 2004 | 95 | |
| 13 | 2009 | 92 | |
| 14 | 2014 | 88 | |
| 15 | 2007 | 81 | |
| 16 | 2015 | 76 | |
| 17 | 2002 | 74 | |
| 18 | 2018 | 72 | |
| 19 | 2008 | 70 | |
| 20 | 2005 | 69 |
About Benjamin L. Schulz
Benjamin L. Schulz is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Epidemiology and Cell Biology, having authored 173 papers that have together received 5.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (46 papers), Advanced Proteomics Techniques and Applications (19 papers), Fermentation and Sensory Analysis (12 papers), Bacterial Infections and Vaccines (11 papers), Genomics and Phylogenetic Studies (10 papers), Carbohydrate Chemistry and Synthesis (10 papers), Galectins and Cancer Biology (9 papers) and Mass Spectrometry Techniques and Applications (8 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Microbiology (239 citations), Spectroscopy (549 citations), Endocrinology (166 citations) and Cell Biology (463 citations). Benjamin L. Schulz has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Nicolle H. Packer, Niclas G. Karlsson, Markus Aebi, Lucía F. Zacchi, Walter Durka, R. Lutz Eckstein, Shin Numao, Ulla‐Maja Bailey, Edward D. Kerr and Nico Callewaert. Their work appears in journals such as Scientific Reports, Journal of Proteome Research, Biochemical and Biophysical Research Communications, Molecular & Cellular Proteomics and Analytical Biochemistry.
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.