Thea K. Schulze

490 citations
3 papers · 221 indexed · 1 hit paper · h-index 3
Topics
Biochemical and Molecular Research (1 paper)Protein Structure and Dynamics (1 paper)Lipid metabolism and biosynthesis (1 paper)

In The Last Decade

Thea K. Schulze

3 papers receiving 221 citations

Hit Papers

Accurate model of liquid–liquid phase behavior of intrins...2021202620222024202150100150200

Peers

Thea K. Schulze
Comparison fields: 5 of 49
  • Molecular Biology 206
  • Materials Chemistry 48
  • Cell Biology 14
  • Biochemistry 11
  • Genetics 9
Replace Pin Yu Chew with:
Pin Yu Chew United Kingdom
Aleks Reinhardt United Kingdom
Anne Aguirre United Kingdom
Kieran O. Russell United Kingdom
Ivars Karpičs Germany
Jared M. Lalmansingh United States
Arvind Pillai United States
F. Emil Thomasen Denmark
Silvia Benevenuta Italy
Clemens C. Heikaus United States
Thea K. Schulze relative to Pin Yu Chew United Kingdom Pin Yu Chew's profile →
Citations per field
00.5×4.5×
Pin Yu Chew · 1×
Citations per year

Countries citing papers authored by Thea K. Schulze

Since Specialization
Citations

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

Fields of papers citing papers by Thea K. Schulze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thea K. Schulze. 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 Thea K. Schulze. The network helps show where Thea K. Schulze may publish in the future.

Co-authorship network of co-authors of Thea K. Schulze

This figure shows the co-authorship network connecting the top 25 collaborators of Thea K. Schulze. A scholar is included among the top collaborators of Thea K. Schulze 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 Thea K. Schulze. Thea K. Schulze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 8
2 6
3
Accurate model of liquid–liquid phase behavior of intrinsically disordered proteins from optimization of single-chain propertiesbreakdown →
207

About Thea K. Schulze

Thea K. Schulze is a scholar working on Biochemistry, Molecular Biology and Artificial Intelligence, having authored 3 papers that have together received 221 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (1 paper), Protein Structure and Dynamics (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Molecular Biology (206 citations), Biochemistry (11 citations) and Structural Biology (2 citations). Thea K. Schulze has collaborated with scholars based in Denmark, United States and Canada. Frequent co-authors include Kresten Lindorff‐Larsen, Ramón Crehuet, Giulio Tesei, Rasmus Hartmann‐Petersen, Kristoffer E. Johansson, Matteo Cagiada, Line Pedersen, Lene Clausen, Snehal Nariya and Amelie Stein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genome biology.

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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