John A. Goetz
Impact in
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Developmental Biology and Gene Regulation
- Developmental Biology top 5%
Papers in
-
- Hedgehog Signaling Pathway Studies 12
- Glycosylation and Glycoproteins Research 10
- Epigenetics and DNA Methylation 6
- Developmental Biology and Gene Regulation 5
- Genomics and Phylogenetic Studies 4
-
- Carbohydrate Chemistry and Synthesis 4
- Co-authors
- Miloš V. Novotný (10 shared papers)David J. Robbins (11 shared papers)Yehia Mechref (5 shared papers)Xin Zeng (2 shared papers)Claire M. Schreiner (3 shared papers)William J. Scott (3 shared papers)Pilsoo Kang (3 shared papers)William R. Alley (4 shared papers)
- Journals
- Analytical Chemistry (4 papers)Journal of Biological Chemistry (3 papers)Journal of Proteome Research (2 papers)Cancer Research (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
John A. Goetz
22 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.6k
- Developmental Biology 42
- Spectroscopy 251
- Cell Biology 225
- Organic Chemistry 294
Countries citing papers authored by John A. Goetz
This map shows the geographic impact of John A. Goetz'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 A. Goetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Goetz more than expected).
Fields of papers citing papers by John A. Goetz
This network shows the impact of papers produced by John A. Goetz. 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 A. Goetz. The network helps show where John A. Goetz may publish in the future.
Co-authors
The 25 scholars most cited alongside John A. Goetz, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 374 | |
| 2 | 2008 | 211 | |
| 3 | 2012 | 161 | |
| 4 | 2006 | 142 | |
| 5 | 2007 | 137 | |
| 6 | 2005 | 109 | |
| 7 | 2009 | 79 | |
| 8 | 2008 | 78 | |
| 9 | 2012 | 76 | |
| 10 | 2002 | 51 | |
| 11 | 2013 | 49 | |
| 12 | 2016 | 45 | |
| 13 | 2012 | 43 | |
| 14 | 2011 | 40 | |
| 15 | 2009 | 38 | |
| 16 | 2004 | 34 | |
| 17 | 2008 | 23 | |
| 18 | 2005 | 16 | |
| 19 | 2003 | 14 | |
| 20 | 2012 | 11 |
About John A. Goetz
John A. Goetz is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (12 papers), Glycosylation and Glycoproteins Research (10 papers), Epigenetics and DNA Methylation (6 papers), Developmental Biology and Gene Regulation (5 papers), Genomics and Phylogenetic Studies (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Developmental Biology (42 citations), Spectroscopy (251 citations), Cell Biology (225 citations) and Organic Chemistry (294 citations). John A. Goetz has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Miloš V. Novotný, David J. Robbins, Yehia Mechref, Xin Zeng, Claire M. Schreiner, William J. Scott, Pilsoo Kang, William R. Alley, Zuzana Kyseľová and Samer Singh. Their work appears in journals such as Analytical Chemistry, Journal of Biological Chemistry, Journal of Proteome Research, Cancer Research and Molecular & Cellular Proteomics.
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.