Mark E. Johnson

2.1k citations
15 papers · 841 · h-index 12

Impact in

Papers in

Mark E. Johnson

14 papers receiving 791 citations

Peers

Mark E. Johnson
Comparison fields: 5 of 65
  • Pharmaceutical Science 428
  • Biomaterials 56
  • Dermatology 27
  • Computational Theory and Mathematics 54
  • Molecular Biology 190
Replace Ilpo Jääskeläinen with:
Ilpo Jääskeläinen Finland
Roy J. Haskell United States
Anna‐Kaisa Rimpelä Finland
Walter Kamm Germany
Madlen Hubert Sweden
Rohan Lalani India
Gabriela M. Di Venosa Argentina
Yongshan Zhao China
Helle Northeved Denmark
T. Marjukka Suhonen Finland
Mark E. Johnson relative to Ilpo Jääskeläinen Finland Ilpo Jääskeläinen's profile →
Citations per field
00.5×5×10.8×
Ilpo Jääskeläinen · 1×
Citations per year

Countries citing papers authored by Mark E. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark E. 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 Mark E. Johnson Line = papers co-authored together Mark E. Johnson links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1997278
2 1996112
3 199589
4 199975
5 201563
6 201645
7 200641
8 200332
9 201829
10 200627
11 200117
12 201615
13 20159
14 20169
15 20080

About Mark E. Johnson

Mark E. Johnson is a scholar working on Pharmaceutical Science, Molecular Biology, Information Systems and Management, Pulmonary and Respiratory Medicine and Safety, Risk, Reliability and Quality, having authored 15 papers that have together received 841 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Advancements in Transdermal Drug Delivery (3 papers), Lipid Membrane Structure and Behavior (3 papers), Neonatal Respiratory Health Research (2 papers), Tuberculosis Research and Epidemiology (1 paper), Biotechnology and Related Fields (1 paper), Immunotherapy and Immune Responses (1 paper) and Dendrimers and Hyperbranched Polymers (1 paper). The work is most often cited by research in Pharmaceutical Science (428 citations), Biomaterials (56 citations), Dermatology (27 citations), Computational Theory and Mathematics (54 citations) and Molecular Biology (190 citations). Mark E. Johnson has collaborated with scholars based in United States, Spain and Denmark. Frequent co-authors include Daniel Blankschtein, Róbert Langer, Samir Mitragotri, Zhibin Guan, Nathan J. Oldenhuis, Ashish B. Patel, Hanxiang Zeng, Olga Cañadas, Timothy N. Tiambeng and Cristina Casals. Their work appears in journals such as Journal of Pharmaceutical Sciences, Biophysical Journal, Beilstein Journal of Organic Chemistry, Biomacromolecules and Bioconjugate Chemistry.

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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