Daniel A. Erlanson

6.1k citations
50 papers · 4.5k · 1 hit paper · h-index 28

Impact in

Papers in

Daniel A. Erlanson

48 papers receiving 4.3k citations

Daniel A. Erlanson's Hit Papers

Twenty years on: the impact of fragments on drug discovery 2016 · 707 citations
7070+3+6Years since publication200400600

Peers

Daniel A. Erlanson
Comparison fields: 5 of 126
  • Computational Theory and Mathematics 1.2k
  • Molecular Biology 3.3k
  • Organic Chemistry 1.2k
  • Toxicology 130
  • Pharmacology 332
Replace Matthew Eldridge with:
Matthew Eldridge United Kingdom
Fabrizio Giordanetto Sweden
Xueliang Fang China
Oleg Ursu United States
Michael Gütschow Germany
Melinda G. Hollingshead United States
A. Geoffrey Skillman United States
Teruki Honma Japan
S. Barret Kalindjian United Kingdom
Simon J. Teague United Kingdom
Daniel A. Erlanson relative to Matthew Eldridge United Kingdom Matthew Eldridge's profile →
Citations per field
00.5×2.8×
Matthew Eldridge · 1×
Citations per year

Countries citing papers authored by Daniel A. Erlanson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Erlanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Erlanson. 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 Daniel A. Erlanson. The network helps show where Daniel A. Erlanson may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel A. Erlanson, 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 Daniel A. Erlanson Line = papers co-authored together Daniel A. Erlanson 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
Twenty years on: the impact of fragments on drug discovery
Hit paper breakdown →
2016707
2 2004495
3 2004443
4 2000351
5 2004299
6 2011202
7 2013195
8 2016172
9 2003154
10 2013114
11 2006107
12 199699
13 201498
14 201892
15 200283
16 202172
17 199372
18 200559
19 202055
20 201653

About Daniel A. Erlanson

Daniel A. Erlanson is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 4.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Click Chemistry and Applications (15 papers), Chemical Synthesis and Analysis (12 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Pharmaceutical Economics and Policy (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Ubiquitin and proteasome pathways (3 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Molecular Biology (3.3k citations), Organic Chemistry (1.2k citations), Toxicology (130 citations) and Pharmacology (332 citations). Daniel A. Erlanson has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Wolfgang Jahnke, Robert S. McDowell, James A. Wells, Andrew C. Braisted, Harren Jhoti, Roderick E. Hubbard, Stephen W. Fesik, Mike Randal, Ben Davis and Gregory L. Verdine. Their work appears in journals such as Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Bioorganic & Medicinal Chemistry Letters and Nature Communications.

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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