Zachary J. Walker

2.9k total citations
30 papers, 174 citations indexed

About

Zachary J. Walker is a scholar working on Hematology, Molecular Biology and Instrumentation. According to data from OpenAlex, Zachary J. Walker has authored 30 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 10 papers in Molecular Biology and 5 papers in Instrumentation. Recurrent topics in Zachary J. Walker's work include Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (8 papers) and Astronomy and Astrophysical Research (5 papers). Zachary J. Walker is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (8 papers) and Astronomy and Astrophysical Research (5 papers). Zachary J. Walker collaborates with scholars based in United States, South Africa and Canada. Zachary J. Walker's co-authors include Daniel W. Sherbenou, Peter A. Forsberg, Tomer M. Mark, Jennifer L. Reed, Brett M. Stevens, Mark P. Nicol, David M. Kelso, Sally M. McFall, E. S. Saunders and Tim Lister and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

In The Last Decade

Zachary J. Walker

23 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zachary J. Walker United States 8 55 51 41 25 21 30 174
L Reverberi Italy 10 25 0.5× 113 2.2× 12 0.3× 60 2.4× 9 0.4× 17 417
Adam Harned United States 11 19 0.3× 154 3.0× 29 0.7× 10 0.4× 7 0.3× 15 299
Laura Galeotti Italy 10 58 1.1× 69 1.4× 112 2.7× 10 0.4× 3 0.1× 25 414
Yael Sagi United States 11 16 0.3× 174 3.4× 42 1.0× 7 0.3× 24 1.1× 17 344
H. Roos Germany 15 7 0.1× 122 2.4× 18 0.4× 20 0.8× 16 0.8× 63 673
Hitoshi Matsuoka Japan 10 35 0.6× 89 1.7× 32 0.8× 45 1.8× 2 0.1× 34 354
Patrick M. Lelliott Australia 11 29 0.5× 68 1.3× 12 0.3× 4 0.2× 41 2.0× 17 313
Laurent Fernandez France 8 18 0.3× 210 4.1× 34 0.8× 16 0.6× 18 0.9× 9 323
Jacopo Nanni Italy 13 70 1.3× 59 1.2× 22 0.5× 17 0.7× 61 409
Anil Kumar Dasanna Germany 11 21 0.4× 93 1.8× 11 0.3× 37 1.5× 6 0.3× 22 258

Countries citing papers authored by Zachary J. Walker

Since Specialization
Citations

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

Fields of papers citing papers by Zachary J. Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zachary J. Walker. 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 Zachary J. Walker. The network helps show where Zachary J. Walker may publish in the future.

Co-authorship network of co-authors of Zachary J. Walker

This figure shows the co-authorship network connecting the top 25 collaborators of Zachary J. Walker. A scholar is included among the top collaborators of Zachary J. Walker 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 Zachary J. Walker. Zachary J. Walker 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.
Xu, R., Zachary J. Walker, Thomas D. Yuzvinsky, et al.. (2025). Single molecule nanopore counting assay targeting small extracellular vesicle cargo for non-invasive monitoring of cerebral organoid development and health. Scientific Reports. 15(1). 45806–45806.
2.
Walker, Zachary J., Krysta L. Engel, Zenggang Pan, et al.. (2024). Single-Cell RNA Sequencing before and after Light Chain Escape Reveals Intrapatient Multiple Myeloma Subpopulations with Divergent Osteolytic Gene Expression. Cancer Research Communications. 5(1). 106–118. 1 indexed citations
3.
Walker, Zachary J., et al.. (2024). MYC Inhibition Potentiates CD8+ T Cells Against Multiple Myeloma and Overcomes Immunomodulatory Drug Resistance. Clinical Cancer Research. 30(14). 3023–3035. 4 indexed citations
4.
5.
Walker, Zachary J., Su Yang, Brett M. Stevens, et al.. (2023). CD46–ADC Reduces the Engraftment of Multiple Myeloma Patient-Derived Xenografts. Cancers. 15(22). 5335–5335. 7 indexed citations
6.
Jayabalan, David, Zachary J. Walker, Diana Abbott, et al.. (2023). CD38 antibody re-treatment in daratumumab-refractory multiple myeloma after time on other therapies. Blood Advances. 7(21). 6430–6440. 16 indexed citations
7.
Walker, Zachary J., et al.. (2022). Optofluidic Particle Manipulation: Optical Trapping in a Thin-Membrane Microchannel. Biosensors. 12(9). 690–690. 9 indexed citations
8.
Walker, Zachary J., David Jayabalan, Rubén Niesvizky, et al.. (2022). High Ex Vivo Response Rates to CD38/CD28xCD3 Trispecific T Cell Engager in Patients Relapsed after Anti-CD38 and Anti-BCMA Targeted Immunotherapies. Blood. 140(Supplement 1). 7097–7099. 3 indexed citations
9.
Olson, Lucretia E., Joseph D. Holbrook, Jacob S. Ivan, et al.. (2021). Improved prediction of Canada lynx distribution through regional model transferability and data efficiency. Ecology and Evolution. 11(4). 1667–1690. 15 indexed citations
10.
Wong, Sandy W., Philip Imus, Tomer M. Mark, et al.. (2021). P-225: A first-in-human study of FOR46 in patients with triple refractory Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 21. S164–S164. 8 indexed citations
11.
Walker, Zachary J., et al.. (2021). A case for improving frail patient outcomes in multiple myeloma with phenotype‐driven personalized medicine. SHILAP Revista de lepidopterología. 2(1-2). 6–12.
12.
Walker, Zachary J., Brett M. Stevens, Andrew Hammes, et al.. (2020). Exploiting Protein Translation Dependence in Multiple Myeloma with Omacetaxine-Based Therapy. Clinical Cancer Research. 27(3). 819–830. 9 indexed citations
13.
Walker, Zachary J., Brett M. Stevens, Christophe Langouët-Astrié, et al.. (2018). A Rapid Functional Screen for Small Molecule and Monoclonal Antibody Drug Sensitivity in Multiple Myeloma Patients. Blood. 132(Supplement 1). 3203–3203. 1 indexed citations
14.
Reed, Jennifer L., et al.. (2016). Highly sensitive sequence specific qPCR detection of Mycobacterium tuberculosis complex in respiratory specimens. Tuberculosis. 101. 114–124. 25 indexed citations
15.
Shappee, B. J., J. L. Prieto, K. Z. Stanek, et al.. (2014). All Sky Automated Survey for SuperNovae (ASAS-SN or "Assassin"). 223. 7 indexed citations
16.
Walker, Zachary J., et al.. (2014). The Green Treefrog, Hyla cinerea (Schneider), in Indiana. Proceedings of the Indiana Academy of Science. 123(2). 179–195. 4 indexed citations
17.
Saunders, E. S., et al.. (2014). Novel scheduling approaches in the era of multi-telescope networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9149. 91490E–91490E. 10 indexed citations
18.
Shappee, B. J., J. L. Prieto, Jenna M. Nugent, et al.. (2013). ASAS-SN Discovery of a Strong AGN Outburst and Dramatic Seyfert Type Change in NGC 2617. ATel. 5010. 1.
19.
Mathur, S., D. Grupe, J. L. Prieto, et al.. (2013). Swift XRT and UVOT Observations of an Outburst in NGC 2617. ATel. 5039. 1.
20.
Prieto, J. L., B. J. Shappee, K. Z. Stanek, et al.. (2011). ASAS-SN and Swift follow-up of PSN J10081059+5150570: An Unusual Type IIn Supernova ?. ATel. 3749. 1.

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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