Paul Nghiem
About
Paul Nghiem is a scholar working on Oncology, Electrical and Electronic Engineering and Aerospace Engineering.
According to data from OpenAlex, Paul Nghiem has authored 249 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 220 papers in Oncology, 122 papers in Electrical and Electronic Engineering and 101 papers in Aerospace Engineering. Recurrent topics in Paul Nghiem's work include Polyomavirus and related diseases (191 papers), Full-Duplex Wireless Communications (115 papers) and Antenna Design and Analysis (101 papers). Paul Nghiem is often cited by papers focused on Polyomavirus and related diseases (191 papers), Full-Duplex Wireless Communications (115 papers) and Antenna Design and Analysis (101 papers). Paul Nghiem collaborates with scholars based in United States, Germany and France. Paul Nghiem's co-authors include Shailender Bhatia, Kelly G. Paulson, Jayasri G. Iyer, Bianca D. Lemos, Célèste Lebbé, Pablo Fernández‐Peñas, Linda C. Wang, Jürgen C. Becker, Stuart L. Schreiber and Martin F. Arlt and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
In The Last Decade
Paul Nghiem
236 papers receiving 12.9k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Paul Nghiem United States | 61 | 9.9k | 6.3k | 5.4k | 2.7k | 1.4k | 249 | 13.1k | ||
| Célèste Lebbé France | 57 | 12.8k 1.3× | 1.5k 0.2× | 1.2k 0.2× | 4.4k 1.6× | 4.4k 3.1× | 543 | 18.0k | ||
| Janet S. Butel United States | 58 | 8.5k 0.9× | 1.2k 0.2× | 964 0.2× | 6.5k 2.5× | 1.3k 0.9× | 265 | 14.7k | ||
| Jane L. Messina United States | 53 | 5.6k 0.6× | 693 0.1× | 599 0.1× | 2.9k 1.1× | 2.1k 1.4× | 260 | 9.6k | ||
| Howard L. Kaufman United States | 56 | 9.9k 1.0× | 810 0.1× | 632 0.1× | 4.5k 1.7× | 5.9k 4.1× | 317 | 14.8k | ||
| Marie‐Françoise Avril France | 45 | 3.6k 0.4× | 596 0.1× | 518 0.1× | 2.0k 0.8× | 1.5k 1.0× | 161 | 6.2k | ||
| Selma Ugurel Germany | 49 | 4.9k 0.5× | 471 0.1× | 389 0.1× | 3.6k 1.4× | 2.5k 1.7× | 236 | 8.3k | ||
| Tadaichi Kitamura Japan | 52 | 3.5k 0.3× | 1.7k 0.3× | 671 0.1× | 2.1k 0.8× | 590 0.4× | 255 | 7.7k | ||
| Gerald P. Linette United States | 41 | 5.5k 0.6× | 472 0.1× | 352 0.1× | 3.6k 1.4× | 3.6k 2.5× | 123 | 9.2k | ||
| Anja von Heydebreck Germany | 36 | 4.0k 0.4× | 515 0.1× | 395 0.1× | 2.7k 1.0× | 1.4k 1.0× | 93 | 7.9k | ||
| Hubert Pehamberger Austria | 57 | 8.4k 0.8× | 223 0.0× | 157 0.0× | 6.0k 2.2× | 3.0k 2.1× | 278 | 15.3k |
Countries citing papers authored by Paul Nghiem
Since
Specialization
Citations
This map shows the geographic impact of Paul Nghiem'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 Paul Nghiem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Nghiem more than expected).
Fields of papers citing papers by Paul Nghiem
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Paul Nghiem. 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 Paul Nghiem. The network helps show where Paul Nghiem may publish in the future.
Co-authorship network of co-authors of Paul Nghiem
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Nghiem. A scholar is included among the top collaborators of Paul Nghiem 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 Paul Nghiem. Paul Nghiem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Zeng, Zhen, Jiajia Zhang, Shuai Li, et al.. (2025). A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types. Nature Communications. 16(1). 1070–1070.
2.
Miller, Natalie J., Wenwen Chen, Evan Hall, et al.. (2024). TRICK-MCC: A proof-of-concept, investigator-initiated study of combination therapy with anti–PD-1, anti–LAG-3, and anti–TIM-3 in participants with advanced or metastatic PD-(L)1 refractory Merkel cell carcinoma.. Journal of Clinical Oncology. 42(16_suppl). TPS9618–TPS9618.
3.
Akaike, Tomoko, Daniel S. Hippe, Michi M. Shinohara, et al.. (2022). Management and Prognosis of Cardiac Metastatic Merkel Cell Carcinoma: A Case–Control Study and Literature Review. Cancers. 14(23). 5914–5914.
4.
D’Angelo, Sandra P., Célèste Lebbé, Laurent Mortier, et al.. (2021). First-line avelumab in a cohort of 116 patients with metastatic Merkel cell carcinoma (JAVELIN Merkel 200): primary and biomarker analyses of a phase II study. Journal for ImmunoTherapy of Cancer. 9(7). e002646–e002646.
5.
Finak, Greg, Leonard D’Amico, Nina Bhardwaj, et al.. (2021). New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapy. Patterns. 2(12). 100372–100372.
6.
Stang, Andreas, Jürgen C. Becker, Paul Nghiem, & Jacques Ferlay. (2018). The association between geographic location and incidence of Merkel cell carcinoma in comparison to melanoma: An international assessment. European Journal of Cancer. 94. 47–60.
7.
Gavvovidis, Ioannis, Matthias Leisegang, Gerald Willimsky, et al.. (2018). Targeting Merkel Cell Carcinoma by Engineered T Cells Specific to T-Antigens of Merkel Cell Polyomavirus. Clinical Cancer Research. 24(15). 3644–3655.
8.
Colunga, Aric, Thomas H. Pulliam, & Paul Nghiem. (2017). Merkel Cell Carcinoma in the Age of Immunotherapy: Facts and Hopes. Clinical Cancer Research. 24(9). 2035–2043.
9.
Vandeven, Natalie, Christopher W. Lewis, Vladimir Makarov, et al.. (2017). Merkel Cell Carcinoma Patients Presenting Without a Primary Lesion Have Elevated Markers of Immunity, Higher Tumor Mutation Burden, and Improved Survival. Clinical Cancer Research. 24(4). 963–971.
10.
Miller, Natalie, Candice D. Church, Lichun Dong, et al.. (2017). Tumor-Infiltrating Merkel Cell Polyomavirus-Specific T Cells Are Diverse and Associated with Improved Patient Survival. Cancer Immunology Research. 5(2). 137–147.
11.
Lyngaa, Rikke, Natasja Wulff Pedersen, David Schrama, et al.. (2014). T-cell Responses to Oncogenic Merkel Cell Polyomavirus Proteins Distinguish Patients with Merkel Cell Carcinoma from Healthy Donors. Clinical Cancer Research. 20(7). 1768–1778.
12.
Kawasumi, Masaoki, James E. Bradner, Nicola Tolliday, et al.. (2014). Identification of ATR–Chk1 Pathway Inhibitors That Selectively Target p53-Deficient Cells without Directly Suppressing ATR Catalytic Activity. Cancer Research. 74(24). 7534–7545.
13.
Moshiri, Ata S. & Paul Nghiem. (2014). Milestones in the Staging, Classification, and Biology of Merkel Cell Carcinoma. Journal of the National Comprehensive Cancer Network. 12(9). 1255–1262.
14.
Afanasiev, Olga K., Lola Yelistratova, Natalie J. Miller, et al.. (2013). Merkel Polyomavirus-Specific T Cells Fluctuate with Merkel Cell Carcinoma Burden and Express Therapeutically Targetable PD-1 and Tim-3 Exhaustion Markers. Clinical Cancer Research. 19(19). 5351–5360.
15.
Chapuis, Aude G., Olga K. Afanasiev, Jayasri G. Iyer, et al.. (2013). Regression of Metastatic Merkel Cell Carcinoma Following Transfer of Polyomavirus-Specific T Cells and Therapies Capable of Reinducing HLA Class-I. Cancer Immunology Research. 2(1). 27–36.
16.
Paulson, Kelly G., Jayasri G. Iyer, Andrew Tegeder, et al.. (2011). Transcriptome-Wide Studies of Merkel Cell Carcinoma and Validation of Intratumoral CD8+ Lymphocyte Invasion As an Independent Predictor of Survival. Journal of Clinical Oncology. 29(12). 1539–1546.
17.
Iyer, Jayasri G., Olga K. Afanasiev, Christopher L. McClurkan, et al.. (2011). Merkel Cell Polyomavirus-Specific CD8+ and CD4+ T-cell Responses Identified in Merkel Cell Carcinomas and Blood. Clinical Cancer Research. 17(21). 6671–6680.
18.
Paulson, Kelly G., Joseph J. Carter, Lisa Johnson, et al.. (2010). Antibodies to Merkel Cell Polyomavirus T Antigen Oncoproteins Reflect Tumor Burden in Merkel Cell Carcinoma Patients. Cancer Research. 70(21). 8388–8397.
19.
Lu, Yaoping, et al.. (2007). Effect of oral or topical administration of caffeine on the ATR/Chk1 pathway in the epidermis of UVB-irradiated SKH-1 mice. Cancer Research. 67. 3451–3451.
20.
Kawasumi, Masaoki, et al.. (2007). Protection from photodamage by topical application of caffeine after ultraviolet irradiation. British Journal of Dermatology. 156(5). 957–964.
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.
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Célèste Lebbé Breakdown of academic impact, for papers by Janet S. Butel Breakdown of academic impact, for papers by Jane L. Messina Breakdown of academic impact, for papers by Howard L. Kaufman Breakdown of academic impact, for papers by Marie‐Françoise Avril Breakdown of academic impact, for papers by Selma Ugurel Breakdown of academic impact, for papers by Tadaichi Kitamura Breakdown of academic impact, for papers by Gerald P. Linette Breakdown of academic impact, for papers by Anja von Heydebreck Breakdown of academic impact, for papers by Hubert Pehamberger