Adam W. Barb
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
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- Glycosylation and Glycoproteins Research 41
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- Monoclonal and Polyclonal Antibodies Research 38
- Co-authors
- Ganesh P. Subedi (17 shared papers)James H. Prestegard (12 shared papers)Pei Zhou (7 shared papers)Kashyap Patel (10 shared papers)Christian R.H. Raetz (7 shared papers)Quinlin Hanson (2 shared papers)Kelley W. Moremen (3 shared papers)Roy W. Johnson (3 shared papers)
- Journals
- Biochemistry (8 papers)Journal of Biological Chemistry (7 papers)Journal of Biomolecular NMR (5 papers)Glycobiology (3 papers)Structure (3 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Adam W. Barb
73 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 96
- Radiology, Nuclear Medicine and Imaging 1.1k
- Molecular Medicine 203
- Immunology 699
- Molecular Biology 1.7k
- Microbiology 71
Countries citing papers authored by Adam W. Barb
This map shows the geographic impact of Adam W. Barb'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 Adam W. Barb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam W. Barb more than expected).
Fields of papers citing papers by Adam W. Barb
This network shows the impact of papers produced by Adam W. Barb. 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 Adam W. Barb. The network helps show where Adam W. Barb may publish in the future.
Co-authors
The 25 scholars most cited alongside Adam W. Barb, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 156 | |
| 2 | 2011 | 148 | |
| 3 | 2016 | 147 | |
| 4 | 2008 | 124 | |
| 5 | 2002 | 121 | |
| 6 | 2012 | 96 | |
| 7 | 2007 | 84 | |
| 8 | 2010 | 84 | |
| 9 | 2007 | 83 | |
| 10 | 2009 | 78 | |
| 11 | 2006 | 76 | |
| 12 | 2014 | 70 | |
| 13 | 2018 | 68 | |
| 14 | 2014 | 63 | |
| 15 | 2015 | 62 | |
| 16 | 2018 | 61 | |
| 17 | 2019 | 60 | |
| 18 | 2015 | 45 | |
| 19 | 2019 | 41 | |
| 20 | 2018 | 38 |
About Adam W. Barb
Adam W. Barb is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Materials Chemistry and Organic Chemistry, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (41 papers), Monoclonal and Polyclonal Antibodies Research (38 papers), T-cell and B-cell Immunology (14 papers), Galectins and Cancer Biology (10 papers), Immune Cell Function and Interaction (8 papers), Enzyme Structure and Function (7 papers), Antibiotic Resistance in Bacteria (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Molecular Medicine (203 citations), Immunology (699 citations), Molecular Biology (1.7k citations) and Microbiology (71 citations). Adam W. Barb has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Ganesh P. Subedi, James H. Prestegard, Pei Zhou, Kashyap Patel, Christian R.H. Raetz, Quinlin Hanson, Kelley W. Moremen, Roy W. Johnson, Evan Brady and Ling Jiang. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Biomolecular NMR, Glycobiology and Structure.
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.