Mac Johnson

1.1k total citations
19 papers, 821 citations indexed

About

Mac Johnson is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mac Johnson has authored 19 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Molecular Biology and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mac Johnson's work include Atomic and Subatomic Physics Research (5 papers), Prostate Cancer Treatment and Research (4 papers) and Advanced NMR Techniques and Applications (3 papers). Mac Johnson is often cited by papers focused on Atomic and Subatomic Physics Research (5 papers), Prostate Cancer Treatment and Research (4 papers) and Advanced NMR Techniques and Applications (3 papers). Mac Johnson collaborates with scholars based in United States, Canada and Switzerland. Mac Johnson's co-authors include Norman M. Greenberg, JoAnne S. Richards, Minnie Hsieh, Jeremy R. Graff, Blake Lee Neubauer, Dimitris Bertsimas, George E. Sandusky, Nathan Kallus, Martyn C. Botfield and Candice L. Horn and has published in prestigious journals such as PLoS ONE, Cancer Research and Radiology.

In The Last Decade

Mac Johnson

19 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mac Johnson United States 12 434 211 161 106 86 19 821
Rieko Oyama Japan 19 596 1.4× 211 1.0× 151 0.9× 173 1.6× 50 0.6× 53 1.2k
Mizuho Nakayama Japan 18 621 1.4× 86 0.4× 442 2.7× 87 0.8× 95 1.1× 47 1.2k
Wen-Mei Li China 12 344 0.8× 45 0.2× 216 1.3× 95 0.9× 24 0.3× 25 704
Yuan Chun Ding United States 17 407 0.9× 32 0.2× 118 0.7× 284 2.7× 63 0.7× 42 1.2k
Won Park South Korea 16 147 0.3× 173 0.8× 208 1.3× 170 1.6× 18 0.2× 58 776
Asoka Banno United States 16 494 1.1× 103 0.5× 83 0.5× 81 0.8× 18 0.2× 19 933
Jinghua Wang China 15 229 0.5× 58 0.3× 105 0.7× 32 0.3× 23 0.3× 29 570
Siew Hwa Ong Switzerland 16 1.1k 2.4× 59 0.3× 252 1.6× 73 0.7× 18 0.2× 27 1.6k
Jordan A. Ramilowski Japan 11 611 1.4× 78 0.4× 127 0.8× 34 0.3× 19 0.2× 19 961
Elena Cano Spain 18 559 1.3× 105 0.5× 56 0.3× 54 0.5× 22 0.3× 28 970

Countries citing papers authored by Mac Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Mac Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mac Johnson

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

All Works

19 of 19 papers shown
1.
Gaitán, María I., Nicholas J. Luciano, Snehashis Roy, et al.. (2023). In vivo MRI is sensitive to remyelination in a nonhuman primate model of multiple sclerosis. eLife. 12. 4 indexed citations
2.
Altes, Talissa A., Mac Johnson, Meredith C. Fidler, et al.. (2017). Use of hyperpolarized helium-3 MRI to assess response to ivacaftor treatment in patients with cystic fibrosis. Journal of Cystic Fibrosis. 16(2). 267–274. 58 indexed citations
3.
Altes, Talissa A., Craig H. Meyer, Jaime F. Mata, et al.. (2017). Hyperpolarized helium-3 magnetic resonance lung imaging of non-sedated infants and young children: a proof-of-concept study. Clinical Imaging. 45. 105–110. 27 indexed citations
4.
Tagge, Ian, Priya Chaudhary, Jim Pollaro, et al.. (2016). Spatio-Temporal Patterns of Demyelination and Remyelination in the Cuprizone Mouse Model. PLoS ONE. 11(4). e0152480–e0152480. 53 indexed citations
5.
Pollard, John R., Stuart W. Hughes, Julie Jones, et al.. (2016). Abstract 3717: Defining optimal dose schedules for ATR inhibitors in combination with DNA damaging drugs: Informing clinical studies of VX-970, the first-in-class ATR inhibitor. Cancer Research. 76(14_Supplement). 3717–3717. 7 indexed citations
6.
Bertsimas, Dimitris, Mac Johnson, & Nathan Kallus. (2015). The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples. Operations Research. 63(4). 868–876. 42 indexed citations
7.
O’Sullivan, Brian, Marcus J. Couch, John P. Roche, et al.. (2014). Assessment of Repeatability of Hyperpolarized Gas MR Ventilation Functional Imaging in Cystic Fibrosis. Academic Radiology. 21(12). 1524–1529. 28 indexed citations
8.
Hall, Amy B., Yuxin Wang, Diane M. Boucher, et al.. (2014). Potentiation of tumor responses to DNA damaging therapy by the selective ATR inhibitor VX-970. Oncotarget. 5(14). 5674–5685. 149 indexed citations
9.
Altes, Talissa A., Mac Johnson, John P. Mugler, et al.. (2012). 46 Hyperpolarized Gas MRI of ivacaftor therapy in subjects with cystic fibrosis who have the G551D-CFTR mutation. Journal of Cystic Fibrosis. 11. S67–S67. 8 indexed citations
11.
Johnson, Mac & Raymond J. Winquist. (2011). Island biogeography effects on microbial evolution may contribute to Crohn's disease. Biochemical Pharmacology. 82(12). 1801–1806. 6 indexed citations
12.
Huss, Wendy J., et al.. (2007). Origin of Androgen-Insensitive Poorly Differentiated Tumors in the Transgenic Adenocarcinoma of Mouse Prostate Model. Neoplasia. 9(11). 938–IN1. 55 indexed citations
14.
Neubauer, Blake Lee, Ann M. McNulty, Márcio F. Chedid, et al.. (2003). The selective estrogen receptor modulator trioxifene (LY133314) inhibits metastasis and extends survival in the PAIII rat prostatic carcinoma model.. PubMed. 63(18). 6056–62. 35 indexed citations
15.
Hsieh, Minnie, Mac Johnson, Norman M. Greenberg, & JoAnne S. Richards. (2002). Regulated Expression of Wnts and Frizzleds at Specific Stages of Follicular Development in the Rodent Ovary. Endocrinology. 143(3). 898–908. 141 indexed citations
16.
Zinda, Michael, Mac Johnson, Candice L. Horn, et al.. (2001). AKT-1, -2, and -3 are expressed in both normal and tumor tissues of the lung, breast, prostate, and colon.. PubMed. 7(8). 2475–9. 132 indexed citations
17.
Johnson, Mac, Inmaculada Hernández, Yongli Wei, & Norman M. Greenberg. (2000). Isolation and characterization of mouse probasin: An androgen-regulated protein specifically expressed in the differentiated prostate. The Prostate. 43(4). 255–262. 40 indexed citations
18.
Dobson, Richard L., Mac Johnson, René Hennig, & N. E. Brown. (1988). Sonography of the gallbladder, biliary tree, and pancreas in adults with cystic fibrosis.. PubMed. 39(4). 257–9. 4 indexed citations
19.
Johnson, Mac, et al.. (1986). Pericardial abscess: diagnosis using two-dimensional echocardiography and CT.. Radiology. 159(2). 419–421. 9 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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