Noah Goodman
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
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- Advanced Breast Cancer Therapies
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
- Oncology 4
- HER2/EGFR in Cancer Research 3
- Co-authors
- Angela DeMichele (6 shared papers)David A. Lewis (3 shared papers)Eline T. Luning Prak (6 shared papers)Michael D. Feldman (3 shared papers)Paul J. Zhang (2 shared papers)Kristi Gramlich (1 shared paper)Christopher Colameco (2 shared papers)Melissa Langer (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (1 paper)Clinical Cancer Research (1 paper)Cytometry Part B Clinical Cytometry (1 paper)Journal of Clinical Oncology (1 paper)Kidney International (1 paper)
- Partner nations
- United StatesSlovakiaAustralia
In The Last Decade
Noah Goodman
11 papers receiving 639 citations
Peers
Comparison fields: 5 of 57
- Oncology 381
- Pulmonary and Respiratory Medicine 275
- Genetics 85
- Immunology 162
- Cancer Research 103
Countries citing papers authored by Noah Goodman
This map shows the geographic impact of Noah Goodman'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 Noah Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Goodman more than expected).
Fields of papers citing papers by Noah Goodman
This network shows the impact of papers produced by Noah Goodman. 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 Noah Goodman. The network helps show where Noah Goodman may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Goodman, 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 | 2014 | 280 | |
| 2 | 2020 | 79 | |
| 3 | 2015 | 58 | |
| 4 | 2015 | 55 | |
| 5 | 2008 | 54 | |
| 6 | 2011 | 40 | |
| 7 | 2017 | 28 | |
| 8 | 2008 | 20 | |
| 9 | 2004 | 18 | |
| 10 | 2011 | 13 | |
| 11 | 2021 | 1 | |
| 12 | 2015 | 0 |
About Noah Goodman
Noah Goodman is a scholar working on Immunology, Oncology, Genetics, Surgery and Molecular Biology, having authored 12 papers that have together received 646 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), HER2/EGFR in Cancer Research (3 papers), Immune Cell Function and Interaction (3 papers), Pancreatic function and diabetes (2 papers), Cancer Genomics and Diagnostics (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Advanced Breast Cancer Therapies (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Oncology (381 citations), Pulmonary and Respiratory Medicine (275 citations), Genetics (85 citations), Immunology (162 citations) and Cancer Research (103 citations). Noah Goodman has collaborated with scholars based in United States, Slovakia and Australia. Frequent co-authors include Angela DeMichele, David A. Lewis, Eline T. Luning Prak, Michael D. Feldman, Paul J. Zhang, Kristi Gramlich, Christopher Colameco, Melissa Langer, Maryann Gallagher and Kevin R. Fox. Their work appears in journals such as Journal of the American Academy of Dermatology, Clinical Cancer Research, Cytometry Part B Clinical Cytometry, Journal of Clinical Oncology and Kidney International.
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.