Mac Johnson

1.1k citations
19 papers · 821 · h-index 12

Impact in

Papers in

Mac Johnson

19 papers receiving 805 citations

Peers

Mac Johnson
Comparison fields: 5 of 100
  • Developmental Neuroscience 32
  • Pulmonary and Respiratory Medicine 211
  • Molecular Biology 434
  • Oncology 161
  • Cancer Research 66
Replace Yi Zhu with:
Yi Zhu China
J. Hsu United States
Gabriel Krigsfeld United States
Manjunath Kustagi United States
Emmanuel Petricoin United States
Kang Fan United States
Gian Luca Negri Canada
Igor Feldman United States
Andreyan N. Osipov Russia
Sanjay Navani Sweden
Mac Johnson relative to Yi Zhu China Yi Zhu's profile →
Citations per field
00.5×3.2×
Yi Zhu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mac Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mac Johnson Line = papers co-authored together Mac Johnson links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2014149
2 2002141
3
AKT-1, -2, and -3 are expressed in both normal and tumor tissues of the lung, breast, prostate, and colon.
2001132
4 201758
5 200755
6 201653
7 201542
8 200040
9
The selective estrogen receptor modulator trioxifene (LY133314) inhibits metastasis and extends survival in the PAIII rat prostatic carcinoma model.
200335
10 201428
11 201727
12 200417
13 19869
14 20128
15 20167
16 20116
17 20126
18 20234
19
Sonography of the gallbladder, biliary tree, and pancreas in adults with cystic fibrosis.
19884

About Mac Johnson

Mac Johnson is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Atomic and Molecular Physics, and Optics, Genetics and Pathology and Forensic Medicine, having authored 19 papers that have together received 821 indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (5 papers), Prostate Cancer Treatment and Research (4 papers), Advanced NMR Techniques and Applications (3 papers), Cystic Fibrosis Research Advances (2 papers), Cancer therapeutics and mechanisms (2 papers), Cancer, Lipids, and Metabolism (2 papers), Hormonal and reproductive studies (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (32 citations), Pulmonary and Respiratory Medicine (211 citations), Molecular Biology (434 citations), Oncology (161 citations) and Cancer Research (66 citations). Mac Johnson has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Norman M. Greenberg, Minnie Hsieh, JoAnne S. Richards, Jeremy R. Graff, Blake Lee Neubauer, George E. Sandusky, Nathan Kallus, Dimitris Bertsimas, Martyn C. Botfield and Zhen Lü. Their work appears in journals such as The Prostate, Journal of Cystic Fibrosis, Neoplasia, Endocrinology and Academic Radiology.

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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