Brian D. Marsden

12.3k citations
65 papers · 3.9k indexed · 1 hit paper · h-index 30

Impact in

    • Protein Degradation and Inhibitors
    • Protein Structure and Dynamics
    • Ubiquitin and proteasome pathways
    • Histone Deacetylase Inhibitors Research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

Brian D. Marsden

64 papers receiving 3.8k citations

Hit Papers

Second malignant neoplasms in children: an update from the Late Effects Study Group. 1985 · 377 citations
3771985202619982012100200300

Peers

Brian D. Marsden
Comparison fields: 5 of 140
  • Molecular Biology 2.7k
  • Hematology 318
  • Computational Theory and Mathematics 375
  • Oncology 642
  • Cell Biology 269
Replace F. von Delft with:
F. von Delft United Kingdom
Erinna F. Lee Australia
W. Douglas Fairlie Australia
Keith P. Wilson United States
Scott B. Ficarro United States
Lei Jin United States
Brian C. Cunningham United States
Thomas E. Wales United States
Catherine L. Day New Zealand
Mark F. van Delft Australia
Brian D. Marsden relative to F. von Delft United Kingdom F. von Delft's profile →
Citations per field
00.5×1.5×2.0×
F. von Delft · 1×
Citations per year

Countries citing papers authored by Brian D. Marsden

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. Marsden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Marsden. 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 Brian D. Marsden. The network helps show where Brian D. Marsden may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20258
3 20233
4 20221
5 202119
6 201819
7 20175
8 20157
9 201465
10 2010241
11 200935
12 200881
13 200827
14 200736
15 2006471
16 20061
17 20065
18 200251
19 200090
20
Novalike Object in Vulpecula
19791

About Brian D. Marsden

Brian D. Marsden is a scholar working on Computational Theory and Mathematics, Molecular Biology, Hematology, Immunology and Allergy and Oncology, having authored 65 papers that have together received 3.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (12 papers), Enzyme Structure and Function (11 papers), Protein Degradation and Inhibitors (10 papers), Ubiquitin and proteasome pathways (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Histone Deacetylase Inhibitors Research (5 papers) and Multiple Myeloma Research and Treatments (5 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Hematology (318 citations), Computational Theory and Mathematics (375 citations), Oncology (642 citations) and Cell Biology (269 citations). Brian D. Marsden has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Stefan Knapp, O. Fedorov, Alex N. Bullock, M. Sundström, F. von Delft, O. Gileadi, James E. Bray, C.D.O. Cooper, T. Krojer and N. Burgess-Brown. Their work appears in journals such as Bioinformatics, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.

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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