Mac Johnson

17 papers receiving 839 citations

Peers

Mac Johnson
Comparison fields: 5 of 98
  • Developmental Neuroscience 31
  • Pulmonary and Respiratory Medicine 195
  • Molecular Biology 420
  • Oncology 140
  • Reproductive Medicine 38
Replace Anna-Karin M. Sjogren with:
Anna-Karin M. Sjogren Sweden
Kang Fan United States
Andreyan N. Osipov Russia
Yuan Fan China
Poh Yong Ng Singapore
Janapriya Saha United States
Jennifer C. Byrne Ireland
Joseph Borg Malta
Françoise Hoffschir France
Gaetano Salvatore Italy
Mac Johnson relative to Anna-Karin M. Sjogren Sweden Anna-Karin M. Sjogren's profile →
Citations per field
00.5×2×4×6.2×
Anna-Karin M. Sjogren · 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

18 of 18 papers shown
#Work
1 2014170
2 2002146
3
AKT-1, -2, and -3 are expressed in both normal and tumor tissues of the lung, breast, prostate, and colon.
2001131
4 201765
5 200758
6 201656
7 200041
8 201540
9
The selective estrogen receptor modulator trioxifene (LY133314) inhibits metastasis and extends survival in the PAIII rat prostatic carcinoma model.
200339
10 201731
11 201430
12 200421
13 19869
14 20128
15 20116
16 20235
17
Sonography of the gallbladder, biliary tree, and pancreas in adults with cystic fibrosis.
19884
18 19860

About Mac Johnson

Mac Johnson is a scholar working on Developmental Neuroscience, Pulmonary and Respiratory Medicine, Genetics, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 18 papers that have together received 860 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (4 papers), Atomic and Subatomic Physics Research (3 papers), Multiple Sclerosis Research Studies (2 papers), Pericarditis and Cardiac Tamponade (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Hormonal and reproductive studies (2 papers), Statistical Methods in Clinical Trials (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Developmental Neuroscience (31 citations), Pulmonary and Respiratory Medicine (195 citations), Molecular Biology (420 citations), Oncology (140 citations) and Reproductive Medicine (38 citations). Mac Johnson has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Norman M. Greenberg, Minnie Hsieh, JoAnne S. Richards, Jeremy Richard Graff, Blake Lee Neubauer, George Earl Sandusky, Martyn C. Botfield, Nathan Kallus, Dimitris Bertsimas and Bruce W. Konicek. Their work appears in journals such as The Prostate, Journal of Cystic Fibrosis, Radiology, Endocrinology and Oncotarget.

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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