Johan Ulander

34 papers receiving 1.4k citations

Peers

Johan Ulander
Comparison fields: 5 of 86
  • Physical and Theoretical Chemistry 251
  • Computational Theory and Mathematics 240
  • Molecular Biology 693
  • Pharmaceutical Science 64
  • Biomaterials 59
Replace Callum J. Dickson with:
Callum J. Dickson United States
Jan Saam Germany
Niel M. Henriksen United States
Kevin D. Parris United States
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Mika A. Kastenholz Switzerland
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Eduardo Howard France
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Haixin Wei United States
Johan Ulander relative to Callum J. Dickson United States Callum J. Dickson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Johan Ulander

Since Specialization
Citations

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

Fields of papers citing papers by Johan Ulander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004274
2 2003171
3 2003103
4 201598
5 202393
6 200672
7 201459
8 202447
9 200143
10 200140
11 201437
12 199834
13 201934
14 200632
15 202230
16 201129
17 201628
18 201625
19 201720
20 199319

About Johan Ulander

Johan Ulander is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics, Biochemistry, Pharmacology and Molecular Biology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Electrostatics and Colloid Interactions (6 papers), Protein Structure and Dynamics (6 papers), Inflammatory mediators and NSAID effects (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Nanoparticle-Based Drug Delivery (2 papers), RNA Interference and Gene Delivery (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (251 citations), Computational Theory and Mathematics (240 citations), Molecular Biology (693 citations), Pharmaceutical Science (64 citations) and Biomaterials (59 citations). Johan Ulander has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Garegin A. Papoian, Peter Guy Wolynes, Roland Kjellander, Zaida Ann Luthey-Schulten, Michael P. Eastwood, A. D. J. Haymet, Hong Wan, Stefan Geschwindner, Patrik Johansson and Christian Tyrchan. Their work appears in journals such as Journal of Medicinal Chemistry, The Journal of Chemical Physics, Drug Discovery Today, Biophysical Journal and Journal of the American Chemical Society.

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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