John Mac

773 total citations
9 papers, 641 citations indexed

About

John Mac is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, John Mac has authored 9 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Immunology. Recurrent topics in John Mac's work include CAR-T cell therapy research (3 papers), Mechanical and Thermal Properties Analysis (2 papers) and RNA Interference and Gene Delivery (2 papers). John Mac is often cited by papers focused on CAR-T cell therapy research (3 papers), Mechanical and Thermal Properties Analysis (2 papers) and RNA Interference and Gene Delivery (2 papers). John Mac collaborates with scholars based in United States, France and China. John Mac's co-authors include Pin Wang, Kwang Gi Kim, Friederike Siebelt, Donald E. Ayer, Carla Grandori, Robert N. Eisenman, Natnaree Siriwon, Xiaoyang Zhang, Zhengfei Lu and Jin Tao and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Biomaterials.

In The Last Decade

John Mac

8 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Mac United States 7 384 293 192 175 91 9 641
Marc Wehrli United States 12 363 0.9× 360 1.2× 399 2.1× 109 0.6× 100 1.1× 24 830
Meena Kadapakkam United States 6 530 1.4× 274 0.9× 190 1.0× 260 1.5× 136 1.5× 7 847
Mahboubeh Yazdanifar United States 17 624 1.6× 307 1.0× 448 2.3× 168 1.0× 115 1.3× 29 988
Ali Hassanzadeh Iran 7 360 0.9× 158 0.5× 189 1.0× 140 0.8× 87 1.0× 12 543
Meijia Yang China 8 350 0.9× 145 0.5× 191 1.0× 122 0.7× 77 0.8× 11 561
Eloah Rabello Suarez Brazil 10 375 1.0× 237 0.8× 157 0.8× 186 1.1× 98 1.1× 21 593
Matthew J. Figliola United States 7 439 1.1× 248 0.8× 165 0.9× 137 0.8× 241 2.6× 17 627
Feifei Qi China 8 333 0.9× 166 0.6× 89 0.5× 197 1.1× 80 0.9× 8 472
Mihe Hong United States 5 364 0.9× 197 0.7× 185 1.0× 169 1.0× 103 1.1× 5 523
Dorota D. Klysz United States 5 359 0.9× 302 1.0× 381 2.0× 179 1.0× 111 1.2× 5 831

Countries citing papers authored by John Mac

Since Specialization
Citations

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

Fields of papers citing papers by John Mac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Mac. 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 John Mac. The network helps show where John Mac may publish in the future.

Co-authorship network of co-authors of John Mac

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

All Works

9 of 9 papers shown
1.
Delfarah, Alireza, Jason A. Junge, Si Li, et al.. (2019). Inhibition of nucleotide synthesis promotes replicative senescence of human mammary epithelial cells. Journal of Biological Chemistry. 294(27). 10564–10578. 37 indexed citations
2.
Dunn, Zachary Spencer, John Mac, & Pin Wang. (2019). T cell immunotherapy enhanced by designer biomaterials. Biomaterials. 217. 119265–119265. 42 indexed citations
3.
Li, Si, Natnaree Siriwon, Xiaoyang Zhang, et al.. (2017). Enhanced Cancer Immunotherapy by Chimeric Antigen Receptor–Modified T Cells Engineered to Secrete Checkpoint Inhibitors. Clinical Cancer Research. 23(22). 6982–6992. 252 indexed citations
4.
Zhang, Xiaoyang, et al.. (2017). Co-delivery of carboplatin and paclitaxel via cross-linked multilamellar liposomes for ovarian cancer treatment. RSC Advances. 7(32). 19685–19693. 34 indexed citations
5.
Siegler, Elizabeth L., Kwang Gi Kim, Xianhui Chen, et al.. (2017). Combination Cancer Therapy Using Chimeric Antigen Receptor-Engineered Natural Killer Cells as Drug Carriers. Molecular Therapy. 25(12). 2607–2619. 88 indexed citations
6.
Mac, John, et al.. (2015). Strength analysis of insulated body with the use of FEM. Journal of Research and Applications in Agricultural Engineering. 60(1). 44–49. 2 indexed citations
7.
Mac, John, et al.. (2002). Model wirtualny i symulacja komputerowa zachowań kinematycznych aeratora pryzm materiałow organicznych. Journal of Research and Applications in Agricultural Engineering. 47. 71–78. 1 indexed citations
8.
Grandori, Carla, John Mac, Friederike Siebelt, Donald E. Ayer, & Robert N. Eisenman. (1996). Myc-Max heterodimers activate a DEAD box gene and interact with multiple E box-related sites in vivo.. The EMBO Journal. 15(16). 4344–4357. 177 indexed citations
9.
Soler, C, et al.. (1992). Influence of fixation on human papillomavirus DNA detection in frozen and embedded paraffin lesions by in situ hybridization with biotinylated probes. Pathology - Research and Practice. 188(8). 1018–1027. 8 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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