Nathan R. Wall

9.0k total citations · 1 hit paper
99 papers, 7.5k citations indexed

About

Nathan R. Wall is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Nathan R. Wall has authored 99 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 20 papers in Immunology and 19 papers in Oncology. Recurrent topics in Nathan R. Wall's work include Cell death mechanisms and regulation (27 papers), Extracellular vesicles in disease (27 papers) and RNA Interference and Gene Delivery (20 papers). Nathan R. Wall is often cited by papers focused on Cell death mechanisms and regulation (27 papers), Extracellular vesicles in disease (27 papers) and RNA Interference and Gene Delivery (20 papers). Nathan R. Wall collaborates with scholars based in United States, Switzerland and Canada. Nathan R. Wall's co-authors include Dario C. Altieri, Janet Plescia, Rafael de Cabo, Benedikt M. Kessler, Kevin J. Bitterman, Konrad T. Howitz, Christine Miller, David Sinclair, Myriam Gorospe and Haim Cohen and has published in prestigious journals such as Science, Cell and The Lancet.

In The Last Decade

Nathan R. Wall

96 papers receiving 7.4k citations

Hit Papers

Calorie Restriction Promotes Mammalian Cell Survival by I... 2004 2026 2011 2018 2004 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan R. Wall United States 37 5.1k 1.8k 1.4k 1.0k 970 99 7.5k
Kevin M. Haigis United States 42 3.9k 0.8× 2.5k 1.4× 1.0k 0.7× 609 0.6× 747 0.8× 105 6.8k
Xiaojing Liu United States 33 3.9k 0.8× 1.3k 0.7× 2.1k 1.5× 1.7k 1.6× 310 0.3× 97 6.7k
David A. Gewirtz United States 53 4.4k 0.9× 2.2k 1.2× 1.1k 0.7× 771 0.8× 234 0.2× 192 8.1k
Patrick Auberger France 52 6.5k 1.3× 2.1k 1.2× 2.1k 1.4× 1.9k 1.8× 240 0.2× 193 10.5k
Santo V. Nicosia United States 43 4.6k 0.9× 2.2k 1.2× 1.9k 1.4× 539 0.5× 347 0.4× 117 8.6k
Valérie Schreiber France 49 7.8k 1.5× 7.5k 4.2× 658 0.5× 1.6k 1.6× 850 0.9× 90 11.2k
Jinke Cheng China 44 4.8k 1.0× 1.5k 0.8× 1.6k 1.1× 1.4k 1.3× 188 0.2× 129 6.5k
Maxwell Sehested Denmark 49 6.7k 1.3× 4.4k 2.5× 1.4k 1.0× 669 0.7× 232 0.2× 154 9.9k
Lin Xiao China 31 2.5k 0.5× 1.0k 0.6× 598 0.4× 582 0.6× 459 0.5× 87 4.2k
David R. Plas United States 35 5.6k 1.1× 1.7k 0.9× 3.0k 2.1× 2.6k 2.5× 150 0.2× 64 8.9k

Countries citing papers authored by Nathan R. Wall

Since Specialization
Citations

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

Fields of papers citing papers by Nathan R. Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan R. Wall

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan R. Wall. A scholar is included among the top collaborators of Nathan R. Wall 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 R. Wall. Nathan R. Wall 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.
Bertucci, Antonella, et al.. (2024). A Comprehensive Review of the Antitumor Properties and Mechanistic Insights of Duocarmycin Analogs. Cancers. 16(19). 3293–3293. 1 indexed citations
2.
Kabagwira, Janviere, et al.. (2024). Amplifying Curcumin’s Antitumor Potential: A Heat-Driven Approach for Colorectal Cancer Treatment. OncoTargets and Therapy. Volume 17. 63–78. 1 indexed citations
3.
Wall, Nathan R., et al.. (2024). Small non-coding RNAs and pancreatic ductal adenocarcinoma: Linking diagnosis, pathogenesis, drug resistance, and therapeutic potential. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1879(5). 189153–189153. 4 indexed citations
4.
Dénes, Béla, et al.. (2023). A CTB-SARS-CoV-2-ACE-2 RBD Mucosal Vaccine Protects Against Coronavirus Infection. Vaccines. 11(12). 1865–1865. 4 indexed citations
5.
Wall, Nathan R., et al.. (2023). Pancreatic Cancer Health Disparity: Pharmacologic Anthropology. Cancers. 15(20). 5070–5070. 7 indexed citations
6.
Gonda, Amber, Jingjing Yu, Mei Li M. Kwong, et al.. (2023). Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls. Annals of Surgical Oncology. 30(6). 3833–3844. 7 indexed citations
7.
Gonda, Amber, et al.. (2021). Natural Killer Cell Phenotype and Functionality Affected by Exposure to Extracellular Survivin and Lymphoma-Derived Exosomes. International Journal of Molecular Sciences. 22(3). 1255–1255. 16 indexed citations
8.
Gonda, Amber, et al.. (2018). Peripheral Blood Cell Interactions of Cancer-Derived Exosomes Affect Immune Function. Cancer Microenvironment. 12(1). 29–35. 10 indexed citations
9.
Galloway, Nicholas R., et al.. (2017). Yin Yang 1 (YY1): Regulation of Survivin and Its Role In Invasion and Metastasis. Critical Reviews™ in Oncogenesis. 22(1-2). 23–36. 20 indexed citations
10.
Kabagwira, Janviere & Nathan R. Wall. (2017). An Argument to Examine Exosomal Survivin Splice Variant Expression and Patient Survival in Pancreatic Cancer. 2(1).
11.
Khan, Salma, Jennifer S. Simpson, James C. Lynch, et al.. (2017). Racial differences in the expression of inhibitors of apoptosis (IAP) proteins in extracellular vesicles (EV) from prostate cancer patients. PLoS ONE. 12(10). e0183122–e0183122. 22 indexed citations
12.
Osterman, Carlos J. Díaz & Nathan R. Wall. (2015). Curcumin and Pancreatic Cancer: A Research and Clinical Update. 1(6). 124. 5 indexed citations
13.
Turay, David, Salma Khan, Carlos J. Díaz Osterman, et al.. (2015). Proteomic Profiling of Serum-Derived Exosomes from Ethnically Diverse Prostate Cancer Patients. Cancer Investigation. 34(1). 1–11. 58 indexed citations
14.
Galloway, Nicholas R., Carlos J. Díaz Osterman, Jessica M.S. Jutzy, et al.. (2014). Yin Yang 1 regulates the transcriptional repression of survivin. Biochemical and Biophysical Research Communications. 445(1). 208–213. 12 indexed citations
15.
Jutzy, Jessica M.S., et al.. (2012). Tumor-Released Survivin Induces a Type-2 T Cell Response and Decreases Cytotoxic T Cell Function, in Vitro. Cancer Microenvironment. 6(1). 57–68. 15 indexed citations
16.
Wall, Nathan R., et al.. (2010). Survivin-T34A: molecular mechanism and therapeutic potential. OncoTargets and Therapy. 3. 247–247. 36 indexed citations
17.
Cohen, Haim, Christine Miller, Kevin J. Bitterman, et al.. (2004). Calorie Restriction Promotes Mammalian Cell Survival by Inducing the SIRT1 Deacetylase. Science. 305(5682). 390–392. 1587 indexed citations breakdown →
18.
Chen, Jing, Nathan R. Wall, Nicole Duclos, et al.. (2004). Stable expression of small interfering RNA sensitizes TEL-PDGFβR to inhibition with imatinib or rapamycin. Journal of Clinical Investigation. 113(12). 1784–1791. 52 indexed citations
19.
Sui, Guangchao, El Bachir Affar, Yujiang Geno Shi, et al.. (2004). Yin Yang 1 Is a Negative Regulator of p53. Cell. 117(7). 859–872. 357 indexed citations
20.
Wall, Nathan R., Frances W.J. Beck, Ayad Al‐Katib, & Ramzi M. Mohammad. (2001). Treatment-induced Expression of Anti-apoptotic Proteins in WSU-CLL, a Human Chronic Lymphocytic Leukemia Cell Line. Journal of drug targeting. 9(5). 329–339. 6 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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