Andrew Mountain

2.5k citations
31 papers · 1.9k · h-index 21

Impact in

Papers in

    • CRISPR and Genetic Engineering 4
    • Heat shock proteins research 3
    • Virus-based gene therapy research 12
    • Bacterial Genetics and Biotechnology 5

Andrew Mountain

30 papers receiving 1.8k citations

Peers

Andrew Mountain
Comparison fields: 5 of 95
  • Biotechnology 261
  • Genetics 655
  • Molecular Biology 1.3k
  • Oncology 467
  • Radiology, Nuclear Medicine and Imaging 390
Replace Fiona A. O. Marston with:
Fiona A. O. Marston United Kingdom
Thomas Kjeldsen Denmark
Braydon C. Guild United States
Volker Schellenberger Germany
James I. Rearick United States
Amir R. Khan Ireland
Takayasu Date Japan
Janet G. Pumphrey United States
Chun Jeih Ryu South Korea
Paul Bessette United States
Andrew Mountain relative to Fiona A. O. Marston United Kingdom Fiona A. O. Marston's profile →
Citations per field
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Fiona A. O. Marston · 1×
Citations per year

Countries citing papers authored by Andrew Mountain

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Mountain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001431
2 2000262
3 2003111
4 2005108
5 2004107
6 199499
7 200497
8 200077
9 200063
10 200049
11 199748
12 199547
13 200145
14 198441
15 199640
16 200540
17 198031
18 200428
19 198926
20 200123

About Andrew Mountain

Andrew Mountain is a scholar working on Molecular Biology, Genetics, Biotechnology, Oncology and Immunology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Cancer Research and Treatments (9 papers), Bacterial Genetics and Biotechnology (5 papers), CAR-T cell therapy research (4 papers), CRISPR and Genetic Engineering (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Bacteriophages and microbial interactions (3 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Biotechnology (261 citations), Genetics (655 citations), Molecular Biology (1.3k citations), Oncology (467 citations) and Radiology, Nuclear Medicine and Imaging (390 citations). Andrew Mountain has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include S. Baumberg, Lawrence S. Young, Philip R. Hamann, Lois M. Hinman, Dan Shochat, Janis Upeslacis, Carl F. Beyer, Irwin Hollander, Alastair D. G. Lawson and Ryan E. Holcomb. Their work appears in journals such as Molecular Therapy, Cancer Gene Therapy, Bioconjugate Chemistry, Journal of Pharmaceutical Sciences and Gene.

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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