Gerard Hoehn
Impact in
- Periodontics top 5%
- Oral microbiology and periodontitis research
- Microbiology top 10%
- Bacterial Infections and Vaccines
Papers in
-
- Metabolomics and Mass Spectrometry Studies 4
- Machine Learning in Bioinformatics 3
-
- Advanced Proteomics Techniques and Applications 7
- Co-authors
- Virginia L. Clark (4 shared papers)Ok Hee Ryu (2 shared papers)Thomas C. Hart (2 shared papers)G. Illei (1 shared paper)J. C. Atkinson (1 shared paper)Glen L. Hortin (3 shared papers)Anthony F. Suffredini (6 shared papers)Nitin Seam (2 shared papers)
- Journals
- Blood (4 papers)Infection and Immunity (3 papers)Clinical Chemistry (3 papers)PROTEOMICS (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesAustraliaHong Kong
In The Last Decade
Gerard Hoehn
29 papers receiving 955 citations
Peers
Comparison fields: 5 of 107
- Periodontics 65
- Microbiology 60
- Physiology 203
- Genetics 80
- Hematology 85
Countries citing papers authored by Gerard Hoehn
This map shows the geographic impact of Gerard Hoehn'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 Gerard Hoehn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard Hoehn more than expected).
Fields of papers citing papers by Gerard Hoehn
This network shows the impact of papers produced by Gerard Hoehn. 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 Gerard Hoehn. The network helps show where Gerard Hoehn may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerard Hoehn, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 178 | |
| 2 | 1997 | 120 | |
| 3 | 2006 | 99 | |
| 4 | 2008 | 72 | |
| 5 | 2006 | 65 | |
| 6 | 2007 | 57 | |
| 7 | Tnk1: a novel intracellular tyrosine kinase gene isolated from human umbilical cord blood CD34+/Lin-/CD38- stem/progenitor cells. | 1996 | 53 |
| 8 | 2007 | 42 | |
| 9 | 2006 | 41 | |
| 10 | 2001 | 35 | |
| 11 | 1992 | 35 | |
| 12 | 1992 | 28 | |
| 13 | 2010 | 22 | |
| 14 | 2008 | 20 | |
| 15 | 2008 | 19 | |
| 16 | 1990 | 18 | |
| 17 | 2005 | 18 | |
| 18 | 2021 | 15 | |
| 19 | 2000 | 14 | |
| 20 | 2009 | 10 |
About Gerard Hoehn
Gerard Hoehn is a scholar working on Molecular Biology, Spectroscopy, Microbiology, Immunology and Infectious Diseases, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Bacterial Infections and Vaccines (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mast cells and histamine (3 papers), Machine Learning in Bioinformatics (3 papers), Reproductive tract infections research (3 papers), Data Analysis with R (2 papers) and Amoebic Infections and Treatments (2 papers). The work is most often cited by research in Periodontics (65 citations), Microbiology (60 citations), Physiology (203 citations), Genetics (80 citations) and Hematology (85 citations). Gerard Hoehn has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Virginia L. Clark, Ok Hee Ryu, Thomas C. Hart, G. Illei, J. C. Atkinson, Glen L. Hortin, Anthony F. Suffredini, Nitin Seam, Steven K. Drake and Curt I. Civin. Their work appears in journals such as Blood, Infection and Immunity, Clinical Chemistry, PROTEOMICS and Biochemical and Biophysical Research Communications.
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.