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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- Monoclonal and Polyclonal Antibodies Research 7
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- Enzyme Production and Characterization 2
- Co-authors
- Dan E. Robertson (2 shared papers)Peter M. Bowers (7 shared papers)David J. King (7 shared papers)Robert A. Horlick (7 shared papers)Xuqiu Tan (1 shared paper)Walter N. Callen (1 shared paper)Toby H. Richardson (1 shared paper)Gerhard Frey (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)mAbs (1 paper)Methods (1 paper)Protein Engineering Design and Selection (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 510 citations
Peers
Comparison fields: 5 of 58
- Biotechnology 177
- Radiology, Nuclear Medicine and Imaging 240
- Molecular Biology 416
- Biomedical Engineering 124
- 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 | 173 | |
| 2 | 2011 | 86 | |
| 3 | 2006 | 71 | |
| 4 | 2013 | 62 | |
| 5 | 2014 | 48 | |
| 6 | 2012 | 48 | |
| 7 | 2013 | 31 | |
| 8 | 2012 | 22 | |
| 9 | 2013 | 18 |
About John L. Macomber
John L. Macomber is a scholar working on Radiology, Nuclear Medicine and Imaging, Biotechnology, Molecular Biology, Oncology and Nutrition and Dietetics, having authored 9 papers that have together received 559 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), Enzyme Production and Characterization (2 papers), Biofuel production and bioconversion (2 papers), CAR-T cell therapy research (2 papers), Protein purification and stability (2 papers) and RNA Research and Splicing (1 paper). The work is most often cited by research in Biotechnology (177 citations), Radiology, Nuclear Medicine and Imaging (240 citations), Molecular Biology (416 citations), Biomedical Engineering (124 citations) and Oncology (67 citations). John L. Macomber has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Dan E. Robertson, Peter M. Bowers, David J. King, Robert A. Horlick, Xuqiu Tan, Walter N. Callen, Toby H. Richardson, Gerhard Frey, Jay M. Short and Carl A. Miller. Their work appears in journals such as Journal of Biological Chemistry, mAbs, Methods, Protein Engineering Design and Selection 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.