Mark Stevenson

1.9k citations
50 papers · 1.2k · h-index 17

Impact in

  • Nephrology top 5%
    • Parathyroid Disorders and Treatments
  • Genetics top 5%
    • Virus-based gene therapy research
    • Genetic Syndromes and Imprinting

Papers in

    • RNA Interference and Gene Delivery 10
    • Advanced biosensing and bioanalysis techniques 6
    • Virus-based gene therapy research 12

Mark Stevenson

48 papers receiving 1.2k citations

Peers

Mark Stevenson
Comparison fields: 5 of 89
  • Nephrology 161
  • Genetics 421
  • Oncology 300
  • Pharmaceutical Science 65
  • Molecular Biology 680
Replace Yating Tu with:
Yating Tu China
Gianluca Carlesso United States
Stephen H. Wrzesinski United States
Sachiko Hirosue Switzerland
Wentao Deng United States
Joseph D. Ferrari United States
Jeremy B. Foote United States
Mustafa M. Munye United Kingdom
Mark Stevenson relative to Yating Tu China Yating Tu's profile →
Citations per field
00.5×7.3×
Yating Tu · 1×
Citations per year

Countries citing papers authored by Mark Stevenson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Stevenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005240
2 2000116
3 201783
4 201472
5 201371
6 200862
7 200755
8 200847
9 201739
10 200834
11 200034
12 201728
13 201025
14 201623
15 201817
16 200916
17 200816
18 201516
19 201716
20 200515

About Mark Stevenson

Mark Stevenson is a scholar working on Molecular Biology, Genetics, Epidemiology, Oncology and Nephrology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Neuroendocrine Tumor Research Advances (12 papers), RNA Interference and Gene Delivery (10 papers), Neuroblastoma Research and Treatments (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Parathyroid Disorders and Treatments (6 papers), Pancreatic and Hepatic Oncology Research (6 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Nephrology (161 citations), Genetics (421 citations), Oncology (300 citations), Pharmaceutical Science (65 citations) and Molecular Biology (680 citations). Mark Stevenson has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Rajesh V. Thakker, Leonard W. Seymour, Kerry D. Fisher, Simon S. Briggs, Kate E Lines, Luís Cardoso, Martin L. Read, Surjeet Singh, Jon A. Preece and Nandini V. Katre. Their work appears in journals such as Journal of Controlled Release, Endocrine Connections, Cancer Gene Therapy, Endocrine Related Cancer and JBMR Plus.

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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