Noah Goodman

858 total citations
12 papers, 646 citations indexed

About

Noah Goodman is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Noah Goodman has authored 12 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 3 papers in Genetics. Recurrent topics in Noah Goodman's work include T-cell and B-cell Immunology (5 papers), HER2/EGFR in Cancer Research (3 papers) and Immune Cell Function and Interaction (3 papers). Noah Goodman is often cited by papers focused on T-cell and B-cell Immunology (5 papers), HER2/EGFR in Cancer Research (3 papers) and Immune Cell Function and Interaction (3 papers). Noah Goodman collaborates with scholars based in United States, Slovakia and Australia. Noah Goodman's co-authors include Angela DeMichele, David A. Lewis, Eline T. Luning Prak, Michael D. Feldman, Paul J. Zhang, Susan M. Domchek, Daniel F. Heitjan, Kristi Gramlich, Melissa Langer and Maryann Gallagher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Noah Goodman

11 papers receiving 639 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Noah Goodman United States 10 381 275 162 116 103 12 646
Jean‐Michel Picquenot France 17 429 1.1× 142 0.5× 110 0.7× 215 1.9× 239 2.3× 48 908
Stephen Castaneda United States 10 356 0.9× 143 0.5× 146 0.9× 217 1.9× 83 0.8× 14 685
Ignacio Matos Spain 17 521 1.4× 206 0.7× 145 0.9× 195 1.7× 89 0.9× 57 818
Alessandra Bisagni Italy 16 285 0.7× 259 0.9× 73 0.5× 172 1.5× 124 1.2× 51 765
Alice M. Walsh United States 13 344 0.9× 260 0.9× 200 1.2× 301 2.6× 180 1.7× 24 878
Paul Scorer United Kingdom 12 440 1.2× 221 0.8× 97 0.6× 79 0.7× 97 0.9× 19 553
J.P. Delord France 18 706 1.9× 276 1.0× 117 0.7× 253 2.2× 162 1.6× 48 981
Marc Ballas United States 14 554 1.5× 336 1.2× 144 0.9× 254 2.2× 98 1.0× 46 905
Christian Teschendorf Germany 12 222 0.6× 125 0.5× 75 0.5× 182 1.6× 58 0.6× 28 621
R. Islam United States 7 531 1.4× 277 1.0× 90 0.6× 207 1.8× 132 1.3× 8 725

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-authorship network of co-authors of Noah Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Goodman. A scholar is included among the top collaborators of Noah Goodman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Noah Goodman. Noah Goodman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Makhlin, Igor, Amy S. Clark, Paul Wileyto, et al.. (2021). Abstract PD9-10: Investigating the clinical utility of tumor mutational burden in predicting rapid progression and death in patients with metastatic breast cancer. Cancer Research. 81(4_Supplement). PD9–10. 1 indexed citations
2.
Pan, Tien-Chi, Dhruv K. Pant, Natalie Shih, et al.. (2020). Genomic landscape of metastatic breast cancer identifies preferentially dysregulated pathways and targets. Journal of Clinical Investigation. 130(8). 4252–4265. 79 indexed citations
3.
Hanley, Patrick C., Noah Goodman, Yangzhu Du, et al.. (2017). Circulating B cells in type 1 diabetics exhibit fewer maturation-associated phenotypes. Clinical Immunology. 183. 336–343. 28 indexed citations
4.
Datta, Jashodeep, Megan Fracol, Matthew T. McMillan, et al.. (2015). Association of Depressed Anti-HER2 T-Helper Type 1 Response With Recurrence in Patients With Completely Treated HER2-Positive Breast Cancer. JAMA Oncology. 2(2). 242–242. 58 indexed citations
5.
Datta, Jashodeep, Erik Berk, Shuwen Xu, et al.. (2015). Anti-HER2 CD4+ T-helper type 1 response is a novel immune correlate to pathologic response following neoadjuvant therapy in HER2-positive breast cancer. Breast Cancer Research. 17(1). 71–71. 55 indexed citations
6.
Maxwell, Kara N., Brandon M. Wenz, Bradley Wubbenhorst, et al.. (2015). Characteristics of high risk breast cancer patients with mutations identified by multiplex panel testing.. Journal of Clinical Oncology. 33(15_suppl). 1511–1511.
7.
DeMichele, Angela, Amy S. Clark, Kay See Tan, et al.. (2014). CDK 4/6 Inhibitor Palbociclib (PD0332991) in Rb+ Advanced Breast Cancer: Phase II Activity, Safety, and Predictive Biomarker Assessment. Clinical Cancer Research. 21(5). 995–1001. 280 indexed citations
8.
Braunstein, Inbal, Noah Goodman, Misha Rosenbach, et al.. (2011). Lenalidomide therapy in treatment-refractory cutaneous lupus erythematosus: Histologic and circulating leukocyte profile and potential risk of a systemic lupus flare. Journal of the American Academy of Dermatology. 66(4). 571–582. 40 indexed citations
9.
Smith, Sara, Noah Goodman, Kathleen J. Propert, et al.. (2011). Circulating lymphocyte subsets in normal adults are variable and can be clustered into subgroups. Cytometry Part B Clinical Cytometry. 80B(5). 291–299. 13 indexed citations
10.
Khan, Salar N., Esther Witsch, Noah Goodman, et al.. (2008). Editing and escape from editing in anti-DNA B cells. Proceedings of the National Academy of Sciences. 105(10). 3861–3866. 20 indexed citations
11.
Panigrahi, Anil K., Noah Goodman, Robert A. Eisenberg, et al.. (2008). RS rearrangement frequency as a marker of receptor editing in lupus and type 1 diabetes. The Journal of Experimental Medicine. 205(13). 2985–2994. 54 indexed citations
12.
Mange, Kevin C., Eline T. Luning Prak, Malek Kamoun, et al.. (2004). Duffy antigen receptor and genetic susceptibility of African Americans to acute rejection and delayed function. Kidney International. 66(3). 1187–1192. 18 indexed citations

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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