Noah Goodman

866 citations
12 papers · 669 · 1 hit paper · h-index 10

Impact in

Papers in

    • Diabetes and associated disorders 2
    • BRCA gene mutations in cancer 1
    • Pancreatic function and diabetes 2

Noah Goodman

11 papers receiving 658 citations

Noah Goodman's Hit Papers

CDK 4/6 Inhibitor Palbociclib (PD0332991) in Rb+ Advanced Breast Cancer: Phase II Activity, Safety, and Predictive Biomarker Assessment 2014 · 287 citations
2870+4+8Years since publication50100150200250

Peers

Noah Goodman
Comparison fields: 5 of 52
  • Oncology 305
  • Pulmonary and Respiratory Medicine 260
  • Immunology 157
  • Genetics 65
  • Cancer Research 86
Replace Jamie L. DellaGatta with:
Jamie L. DellaGatta United States
Stephen Castaneda United States
Mildred Amaya United States
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Anastasia G Eleftheraki Greece
Carlynn Willmore‐Payne United States
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Citations per field
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Citations per year

Countries citing papers authored by Noah Goodman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Noah Goodman Line = papers co-authored together Noah Goodman links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
CDK 4/6 Inhibitor Palbociclib (PD0332991) in Rb+ Advanced Breast Cancer: Phase II Activity, Safety, and Predictive Biomarker Assessment
Hit paper breakdown →
2014287
2 202080
3 201560
4 200858
5 201557
6 201144
7 201730
8 200821
9 200418
10 201113
11 20211
12 20150

About Noah Goodman

Noah Goodman is a scholar working on Genetics, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 12 papers that have together received 669 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Diabetes and associated disorders (2 papers), T-cell and B-cell Immunology (2 papers), Advanced Breast Cancer Therapies (2 papers), Pancreatic function and diabetes (2 papers), Mechanisms of cancer metastasis (1 paper), BRCA gene mutations in cancer (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Oncology (305 citations), Pulmonary and Respiratory Medicine (260 citations), Immunology (157 citations), Genetics (65 citations) and Cancer Research (86 citations). Noah Goodman has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Angela DeMichele, David A. Lewis, Eline T. Luning Prak, Michael D. Feldman, Paul J. Zhang, Susan M. Domchek, Daniel F. Heitjan, Amy S. Clark, Maryann Gallagher and Christopher Colameco. Their work appears in journals such as Kidney International, Cancer Research, Clinical Cancer Research, Journal of Clinical Investigation and The Journal of Experimental Medicine.

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.

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