John Haugner
Impact in
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- Chemokine receptors and signaling
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
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- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 2
- Glycosylation and Glycoproteins Research 2
- Chemical Synthesis and Analysis 2
- RNA modifications and cancer 1
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- Immunotherapy and Immune Responses 2
- Co-authors
- Francis C. Peterson (2 shared papers)Norberto Cruz (2 shared papers)Brian F. Volkman (2 shared papers)Christopher T. Veldkamp (2 shared papers)Christoph Seibert (1 shared paper)Harihar Basnet (1 shared paper)Thomas P. Sakmar (1 shared paper)Burckhard Seelig (6 shared papers)
- Journals
- Journal of genetics and genomics (1 paper)Nature Chemical Biology (1 paper)ChemBioChem (1 paper)Chemical Communications (1 paper)Science Signaling (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
John Haugner
8 papers receiving 419 citations
Peers
Comparison fields: 5 of 64
- Oncology 198
- Immunology 139
- Radiology, Nuclear Medicine and Imaging 87
- Molecular Biology 277
- Immunology and Allergy 19
Countries citing papers authored by John Haugner
This map shows the geographic impact of John Haugner'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 Haugner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Haugner more than expected).
Fields of papers citing papers by John Haugner
This network shows the impact of papers produced by John Haugner. 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 Haugner. The network helps show where John Haugner may publish in the future.
Co-authors
The 25 scholars most cited alongside John Haugner, 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 | 2008 | 256 | |
| 2 | 2012 | 69 | |
| 3 | 2006 | 30 | |
| 4 | 2018 | 26 | |
| 5 | 2013 | 16 | |
| 6 | 2013 | 13 | |
| 7 | 2013 | 12 | |
| 8 | 2014 | 12 |
About John Haugner
John Haugner is a scholar working on Molecular Biology, Immunology, Oncology, Biotechnology and Spectroscopy, having authored 8 papers that have together received 434 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers), Glycosylation and Glycoproteins Research (2 papers), Immunotherapy and Immune Responses (2 papers), Chemokine receptors and signaling (2 papers), Chemical Synthesis and Analysis (2 papers), RNA modifications and cancer (1 paper) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Oncology (198 citations), Immunology (139 citations), Radiology, Nuclear Medicine and Imaging (87 citations), Molecular Biology (277 citations) and Immunology and Allergy (19 citations). John Haugner has collaborated with scholars based in United States and China. Frequent co-authors include Francis C. Peterson, Norberto Cruz, Brian F. Volkman, Christopher T. Veldkamp, Christoph Seibert, Harihar Basnet, Thomas P. Sakmar, Burckhard Seelig, Misha V. Golynskiy and Lei Shi. Their work appears in journals such as Journal of genetics and genomics, Nature Chemical Biology, ChemBioChem, Chemical Communications and Science Signaling.
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.