Isabella Feierberg

1.2k citations
16 papers · 834 indexed · h-index 13
Topics
Computational Drug Discovery Methods (7 papers)Protein Structure and Dynamics (6 papers)Enzyme Structure and Function (5 papers)

In The Last Decade

Isabella Feierberg

14 papers receiving 812 citations

Peers

Isabella Feierberg
Comparison fields: 5 of 100
  • Molecular Biology 586
  • Computational Theory and Mathematics 200
  • Materials Chemistry 174
  • Organic Chemistry 123
  • Atomic and Molecular Physics, and Optics 86
Replace John Marelius with:
John Marelius Sweden
A. Douangamath United Kingdom
Michael Krug Germany
Kenneth Borrelli United States
John D. Bickel United States
Masaya Orita Japan
Mark McGann United States
Sally Hindle Germany
C. Lerner Switzerland
Tasir S. Haque United States
Isabella Feierberg relative to John Marelius Sweden John Marelius's profile →
Citations per field
00.5×1.5×
John Marelius · 1×
Citations per year

Countries citing papers authored by Isabella Feierberg

Since Specialization
Citations

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

Fields of papers citing papers by Isabella Feierberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabella Feierberg

This figure shows the co-authorship network connecting the top 25 collaborators of Isabella Feierberg. A scholar is included among the top collaborators of Isabella Feierberg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Isabella Feierberg. Isabella Feierberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 22
3 24
4 12
5 14
6 20
7 41
8 1
9 170
10 85
11
Computational Studies of Enzymatic Enolization Reactions and Inhibitor Binding to a Malarial Protease
1
12 43
13 46
14 42
15 24
16 289

About Isabella Feierberg

Isabella Feierberg is a scholar working on Computational Theory and Mathematics, Toxicology and Biophysics, having authored 16 papers that have together received 834 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Computational Theory and Mathematics (200 citations), Molecular Biology (586 citations) and Biochemistry (39 citations). Isabella Feierberg has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Johan Åqvist, Karin Kolmodin, John Marelius, Victor B. Luzhkov, Bjørn Olav Brandsdal, Fredrik Österberg, Martin Almlöf, Johan Hultén, Anders Hallberg and Johan Åqvist. Their work appears in journals such as Journal of Biological Chemistry, Neuron and Biochemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026