John L. Macomber
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Transgenic Plants and Applications
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Glycosylation and Glycoproteins Research 4
- Viral Infectious Diseases and Gene Expression in Insects 3
- Protein purification and stability 2
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- David J. King (7 shared papers)Robert A. Horlick (7 shared papers)Peter M. Bowers (7 shared papers)Dan E. Robertson (2 shared papers)Walter Callen (1 shared paper)Xuqiu Tan (1 shared paper)Jay M. Short (1 shared paper)Gerhard Frey (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Methods (1 paper)Protein Engineering Design and Selection (1 paper)mAbs (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
John L. Macomber
9 papers receiving 458 citations
Peers
Comparison fields: 5 of 55
- Biotechnology 167
- Radiology, Nuclear Medicine and Imaging 226
- Molecular Biology 380
- Biomedical Engineering 110
- Oncology 67
Countries citing papers authored by John L. Macomber
This map shows the geographic impact of John L. Macomber'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 John L. Macomber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John L. Macomber more than expected).
Fields of papers citing papers by John L. Macomber
This network shows the impact of papers produced by John L. Macomber. 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 John L. Macomber. The network helps show where John L. Macomber may publish in the future.
Co-authors
The 25 scholars most cited alongside John L. Macomber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 150 | |
| 2 | 2011 | 78 | |
| 3 | 2006 | 55 | |
| 4 | 2013 | 55 | |
| 5 | 2012 | 48 | |
| 6 | 2014 | 44 | |
| 7 | 2013 | 27 | |
| 8 | 2012 | 21 | |
| 9 | 2013 | 16 |
About John L. Macomber
John L. Macomber is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biotechnology, Oncology and Biomedical Engineering, having authored 9 papers that have together received 494 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), CAR-T cell therapy research (2 papers), Protein purification and stability (2 papers), Biofuel production and bioconversion (2 papers), Enzyme Production and Characterization (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Biotechnology (167 citations), Radiology, Nuclear Medicine and Imaging (226 citations), Molecular Biology (380 citations), Biomedical Engineering (110 citations) and Oncology (67 citations). John L. Macomber has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David J. King, Robert A. Horlick, Peter M. Bowers, Dan E. Robertson, Walter Callen, Xuqiu Tan, Jay M. Short, Gerhard Frey, Carl A. Miller and Toby H. Richardson. Their work appears in journals such as Journal of Biological Chemistry, Methods, Protein Engineering Design and Selection, mAbs and Proceedings of the National Academy of Sciences.
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.