Nathan C. Nussbaum

1.6k total citations
22 papers, 635 citations indexed

About

Nathan C. Nussbaum is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Nathan C. Nussbaum has authored 22 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Cancer Research. Recurrent topics in Nathan C. Nussbaum's work include Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Nathan C. Nussbaum is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Nathan C. Nussbaum collaborates with scholars based in United States and Australia. Nathan C. Nussbaum's co-authors include Anala Gossai, Christina M. Parrinello, Amy P. Abernethy, Rachael Sorg, Carolyn J. Presley, Cary P. Gross, Anne C. Chiang, Kerin B. Adelson, Melisa Tucker and Vineeta Agarwala and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Blood.

In The Last Decade

Nathan C. Nussbaum

20 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan C. Nussbaum United States 11 397 332 154 89 73 22 635
Bernardo H. L. Goulart United States 14 415 1.0× 439 1.3× 172 1.1× 100 1.1× 93 1.3× 51 848
Aracelis Z. Torres United States 14 510 1.3× 388 1.2× 162 1.1× 91 1.0× 108 1.5× 34 826
Pedro Nazareth Aguiar Brazil 13 584 1.5× 428 1.3× 120 0.8× 98 1.1× 73 1.0× 73 861
Melisa Tucker United States 9 357 0.9× 301 0.9× 123 0.8× 52 0.6× 86 1.2× 13 566
Pasquale Lombardi Italy 12 243 0.6× 154 0.5× 111 0.7× 123 1.4× 53 0.7× 43 505
C.J. Twelves United Kingdom 21 746 1.9× 264 0.8× 219 1.4× 89 1.0× 59 0.8× 55 987
Andy Coldman Canada 10 418 1.1× 217 0.7× 206 1.3× 48 0.5× 46 0.6× 14 623
R. Gulati United States 2 230 0.6× 454 1.4× 86 0.6× 99 1.1× 43 0.6× 4 617
Julia H. Hayes United States 11 183 0.5× 501 1.5× 96 0.6× 155 1.7× 98 1.3× 22 776
Navdeep Pal United States 11 189 0.5× 127 0.4× 90 0.6× 91 1.0× 63 0.9× 26 689

Countries citing papers authored by Nathan C. Nussbaum

Since Specialization
Citations

This map shows the geographic impact of Nathan C. Nussbaum'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 Nathan C. Nussbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan C. Nussbaum more than expected).

Fields of papers citing papers by Nathan C. Nussbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan C. Nussbaum. 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 Nathan C. Nussbaum. The network helps show where Nathan C. Nussbaum may publish in the future.

Co-authorship network of co-authors of Nathan C. Nussbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan C. Nussbaum. A scholar is included among the top collaborators of Nathan C. Nussbaum 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 Nathan C. Nussbaum. Nathan C. Nussbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Torres, Aracelis Z., Nathan C. Nussbaum, Christina M. Parrinello, et al.. (2022). Analysis of a Real-World Progression Variable and Related Endpoints for Patients with Five Different Cancer Types. Advances in Therapy. 39(6). 2831–2849. 13 indexed citations
3.
Gossai, Anala, et al.. (2021). Validation analysis of a composite real‐world mortality endpoint for patients with cancer in the United States. Health Services Research. 56(6). 1281–1287. 136 indexed citations
4.
Ma, Xinran, Caroline S. Bennette, Olga Tymejczyk, et al.. (2021). Characterization of a Real-World Response Variable and Comparison with RECIST-Based Response Rates from Clinical Trials in Advanced NSCLC. Advances in Therapy. 38(4). 1843–1859. 30 indexed citations
5.
Cohen, Aaron B., et al.. (2019). PPM8 A MACHINE LEARNING MODEL FOR CANCER BIOMARKER IDENTIFICATION IN ELECTRONIC HEALTH RECORDS. Value in Health. 22. S334–S334. 3 indexed citations
6.
Luhn, Patricia, Deborah Kuk, Gillis Carrigan, et al.. (2019). Validation of diagnosis codes to identify side of colon in an electronic health record registry. BMC Medical Research Methodology. 19(1). 177–177. 21 indexed citations
7.
Bennette, Caroline S., Nathan C. Nussbaum, Melissa D. Curtis, & Neal J. Meropol. (2019). Using real-world cohorts to assess the generalizability and relevance of randomized clinical trials (RCTs).. Journal of Clinical Oncology. 37(15_suppl). 6540–6540. 1 indexed citations
9.
Presley, Carolyn J., Pamela R. Soulos, Anne C. Chiang, et al.. (2018). Association of Broad-Based Genomic Sequencing With Survival Among Patients With Advanced Non–Small Cell Lung Cancer in the Community Oncology Setting. JAMA. 320(5). 469–469. 94 indexed citations
10.
Khozin, Sean, Amy P. Abernethy, Nathan C. Nussbaum, et al.. (2018). Characteristics of Real-World Metastatic Non-Small Cell Lung Cancer Patients Treated with Nivolumab and Pembrolizumab During the Year Following Approval. The Oncologist. 23(3). 328–336. 86 indexed citations
11.
O’Connor, Jeremy, Kristen L. Fessele, Kathi Seidl-Rathkopf, et al.. (2018). Speed of Adoption of Immune Checkpoint Inhibitors of Programmed Cell Death 1 Protein and Comparison of Patient Ages in Clinical Practice vs Pivotal Clinical Trials. JAMA Oncology. 4(8). e180798–e180798. 84 indexed citations
12.
Liede, Alexander, Rohini K. Hernandez, Sally Wade, et al.. (2018). An observational study of concomitant immunotherapies and denosumab in patients with advanced melanoma or lung cancer. OncoImmunology. 7(12). e1480301–e1480301. 53 indexed citations
13.
O’Connor, Jeremy, Kathi Seidl-Rathkopf, Paul You, et al.. (2017). Adoption of immunotherapy into real-world practice: Insights from the use of checkpoint inhibitors.. Journal of Clinical Oncology. 35(15_suppl). e14583–e14583. 2 indexed citations
14.
O’Connor, Jeremy, Kathi Seidl-Rathkopf, Aracelis Z. Torres, et al.. (2017). Racial disparities in the use of programmed death-1 checkpoint inhibitors.. Journal of Clinical Oncology. 35(15_suppl). 3068–3068. 2 indexed citations
15.
Khozin, Sean, Amy Pickar Abernethy, Nathan C. Nussbaum, et al.. (2017). Rates of PD-L1 expression testing in U.S. community-based oncology practices (USCPs) for patients with metastatic non-small cell lung cancer (mNSCLC) receiving nivolumab (N) or pembrolizumab (P).. Journal of Clinical Oncology. 35(15_suppl). 11596–11596. 5 indexed citations
16.
Luhn, Patricia, Deborah Kuk, Gillis Carrigan, et al.. (2017). Validation of diagnosis codes to identify side of colon in an electronic health record registry.. Journal of Clinical Oncology. 35(4_suppl). 568–568. 2 indexed citations
17.
Presley, Carolyn J., Pamela R. Soulos, Anne C. Chiang, et al.. (2017). Disparities in next generation sequencing in a population-based community cohort of patients with advanced non-small cell lung cancer.. Journal of Clinical Oncology. 35(15_suppl). 6563–6563. 9 indexed citations
18.
Nussbaum, Nathan C., Daniel J. George, Amy P. Abernethy, et al.. (2016). Patient experience in the treatment of metastatic castration-resistant prostate cancer: state of the science. Prostate Cancer and Prostatic Diseases. 19(2). 111–121. 56 indexed citations
19.
Nussbaum, Nathan C. & Ivy Altomare. (2015). The Neoadjuvant Treatment of Rectal Cancer: A Review. Current Oncology Reports. 17(3). 434–434. 13 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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