Natalie I. Vokes

8.7k total citations · 1 hit paper
46 papers, 1.1k citations indexed

About

Natalie I. Vokes is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Natalie I. Vokes has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 25 papers in Pulmonary and Respiratory Medicine and 18 papers in Cancer Research. Recurrent topics in Natalie I. Vokes's work include Lung Cancer Treatments and Mutations (22 papers), Cancer Immunotherapy and Biomarkers (19 papers) and Cancer Genomics and Diagnostics (14 papers). Natalie I. Vokes is often cited by papers focused on Lung Cancer Treatments and Mutations (22 papers), Cancer Immunotherapy and Biomarkers (19 papers) and Cancer Genomics and Diagnostics (14 papers). Natalie I. Vokes collaborates with scholars based in United States, Germany and Italy. Natalie I. Vokes's co-authors include Matthew G. Vander Heiden, Christian M. Metallo, Brian P. Fiske, Adam M. Feist, Douglas McCloskey, Caroline A. Lewis, Seth J. Parker, Dan Y. Gui, Courtney R. Green and Gregory Stephanopoulos and has published in prestigious journals such as Nature Communications, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Natalie I. Vokes

39 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tracing Compartmentalized NADPH Metabolism in the Cytosol and Mitochondria of Mammalian Cells

2014 438 citations Caroline A. Lewis, Seth J. Parker et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natalie I. Vokes United States	12	714	501	228	203	98	46	1.1k
Sminu Bose United States	6	849 1.2×	748 1.5×	179 0.8×	103 0.5×	142 1.4×	14	1.2k
Megan D. Hoeksema United States	13	794 1.1×	552 1.1×	210 0.9×	278 1.4×	101 1.0×	13	1.2k
Antonio Ramos‐Montoya United Kingdom	22	923 1.3×	428 0.9×	388 1.7×	417 2.1×	105 1.1×	38	1.4k
Paola Mazzarelli Italy	15	748 1.0×	342 0.7×	233 1.0×	91 0.4×	72 0.7×	22	1.0k
Renduo Song United States	15	591 0.8×	273 0.5×	264 1.2×	72 0.4×	115 1.2×	29	924
Giulia Guzzo Italy	8	857 1.2×	481 1.0×	180 0.8×	58 0.3×	64 0.7×	9	1.1k
Min Kyung Ju South Korea	12	691 1.0×	469 0.9×	365 1.6×	136 0.7×	100 1.0×	16	1.1k
Nicholas Wong Canada	16	758 1.1×	520 1.0×	251 1.1×	168 0.8×	110 1.1×	24	1.1k
Gabriele D. Maurer Germany	17	671 0.9×	385 0.8×	214 0.9×	83 0.4×	74 0.8×	36	1.2k

Countries citing papers authored by Natalie I. Vokes

Since Specialization

Citations

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

Fields of papers citing papers by Natalie I. Vokes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie I. Vokes. 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 Natalie I. Vokes. The network helps show where Natalie I. Vokes may publish in the future.

Co-authorship network of co-authors of Natalie I. Vokes

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

All Works

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20 of 20 papers shown

Vokes, Natalie I., Xiuning Le, & Timothy A. Yap. (2024). PIKing up and AKTing on Resistance Mutations in Osimertinib-Treated EGFR-Mutated NSCLC. Clinical Cancer Research. 30(18). 3968–3970. 2 indexed citations

Saini, Arushi Gahlot, Lingzhi Hong, Maisam Makarem, et al.. (2024). P2.11B.02 Genomic Correlates of Response to Chemoimmunotherapy in STK11MUT and KEAP1MUT Metastatic Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 19(10). S265–S266. 1 indexed citations

Hong, Lingzhi, Shawna M. Hubert, Xiuning Le, et al.. (2024). Clinical Benefit from Docetaxel +/− Ramucirumab Is Not Associated with Mutation Status in Metastatic Non-Small-Cell Lung Cancer Patients Who Progressed on Platinum Doublets and Immunotherapy. Cancers. 16(5). 935–935. 1 indexed citations

Altan, Mehmet, Ziyi Li, Runzhe Chen, et al.. (2024). High peripheral T cell diversity is associated with lower risk of toxicity and superior response to dual immune checkpoint inhibitor therapy in patients with metastatic NSCLC. Journal for ImmunoTherapy of Cancer. 12(12). e008950–e008950. 5 indexed citations

Zhang, Jinsong, Jinsong Zhang, Natalie I. Vokes, et al.. (2024). Overcoming EGFR-TKI resistance by targeting the tumor microenvironment. PubMed. 2(3). 151–161. 9 indexed citations

Wang, Xinan, Giuseppe Lamberti, Alessandro Di Federico, et al.. (2024). Tumor mutational burden for the prediction of PD-(L)1 blockade efficacy in cancer: challenges and opportunities. Annals of Oncology. 35(6). 508–522. 34 indexed citations

Melkadze, Tamar, Nashat Gabrail, Emad Ibrahim, et al.. (2024). A phase 2/3 study of fianlimab plus cemiplimab versus cemiplimab in patients with advanced non-small cell lung cancer with tumors expressing PD-L1 ≥50%.. Journal of Clinical Oncology. 42(16_suppl). TPS8663–TPS8663. 4 indexed citations

Federico, Alessandro Di, Lingzhi Hong, Arielle Elkrief, et al.. (2024). TTF-1 negativity as a biomarker of outcomes to immunotherapy, chemoimmunotherapy, and KRAS G12C inhibitors in lung adenocarcinoma.. Journal of Clinical Oncology. 42(16_suppl). 8608–8608.

Zhang, Jianjun, Hai T. Tran, Hong Liu, et al.. (2024). EP.06G.09 Harnessing Real-World Data for Translational Research in Lung Cancer: MD Anderson Thoracic GEMINI Program. Journal of Thoracic Oncology. 19(10). S515–S515. 1 indexed citations

10.

Wang, Yinghong, Malek Shatila, Anusha Shirwaikar Thomas, et al.. (2023). Tu1734 RANDOMIZED CLINICAL TRIAL OF INFLIXIMAB VERSUS VEDOLIZUMAB FOR IMMUNE CHECKPOINT INHIBITOR RELATED COLITIS. Gastroenterology. 164(6). S–1101. 1 indexed citations

11.

Al-Tashi, Qasem, Maliazurina B. Saad, Amgad Muneer, et al.. (2023). Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic Review. International Journal of Molecular Sciences. 24(9). 7781–7781. 65 indexed citations

12.

Tran, Hai T., Simon Heeke, Sheeba J. Sujit, et al.. (2023). Circulating tumor DNA and radiological tumor volume identify patients at risk for relapse with resected, early-stage non-small-cell lung cancer. Annals of Oncology. 35(2). 183–189. 32 indexed citations

13.

Al-Tashi, Qasem, Maliazurina B. Saad, Ajay Sheshadri, et al.. (2023). SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers. Patterns. 4(8). 100777–100777. 4 indexed citations

14.

Lydon, Christine, Emily S. Chambers, Lynette M. Sholl, et al.. (2023). Molecular markers of metastatic disease in KRAS-mutant lung adenocarcinoma. Annals of Oncology. 34(7). 589–604. 12 indexed citations

15.

Vokes, Natalie I., Cora A. Ricker, Emily Robitschek, et al.. (2023). Abstract 3271: Multiomic meta-analysis of differential response to PD-1 and CTLA-4 blockade in metastatic melanoma. Cancer Research. 83(7_Supplement). 3271–3271. 1 indexed citations

16.

Bakouny, Ziad, Natalie I. Vokes, Xīn Gào, et al.. (2019). Efficacy of immune checkpoint inhibitors (ICI) and genomic characterization of sarcomatoid and/or rhabdoid (S/R) metastatic renal cell carcinoma (mRCC).. Journal of Clinical Oncology. 37(15_suppl). 4514–4514. 6 indexed citations

17.

Vokes, Natalie I., Anika E. Adeni, Renato Umeton, et al.. (2018). MA19.01 Efficacy and Genomic Correlates of Response to Anti-PD1/PD-L1 Blockade in Non-Small Cell Lung Cancers Harboring Targetable Oncogenes. Journal of Thoracic Oncology. 13(10). S422–S422. 9 indexed citations

18.

Lewis, Caroline A., Seth J. Parker, Brian P. Fiske, et al.. (2014). Tracing Compartmentalized NADPH Metabolism in the Cytosol and Mitochondria of Mammalian Cells. Molecular Cell. 55(2). 253–263. 438 indexed citations breakdown →

19.

Heiden, Matthew G. Vander, Sophia Y. Lunt, Talya L. Dayton, et al.. (2011). Metabolic Pathway Alterations that Support Cell Proliferation. Cold Spring Harbor Symposia on Quantitative Biology. 76(0). 325–334. 17 indexed citations

20.

Vokes, Natalie I., et al.. (2006). “Should I Give You My Smoking Lecture Now or Later?” Characterizing Emergency Physician Smoking Discussions and Cessation Counseling. Annals of Emergency Medicine. 48(4). 406–414.e7. 21 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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