Julia Koehler Leman
- Molecular Biology top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Spectroscopy top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Richard BonneauJeffrey J. GrayVladimir GligorijevićDaniel BerenbergKyunghyun ChoRamnik J. XavierTomasz KościółekTommi Vatanen
- Topics
- Protein Structure and Dynamics (19 papers)RNA and protein synthesis mechanisms (8 papers)Machine Learning in Bioinformatics (5 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaNature Biotechnology
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Julia Koehler Leman
25 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 869
- Materials Chemistry 168
- Computational Theory and Mathematics 148
- Spectroscopy 70
- Radiology, Nuclear Medicine and Imaging 68
Countries citing papers authored by Julia Koehler Leman
This map shows the geographic impact of Julia Koehler Leman'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 Julia Koehler Leman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Koehler Leman more than expected).
Fields of papers citing papers by Julia Koehler Leman
This network shows the impact of papers produced by Julia Koehler Leman. 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 Julia Koehler Leman. The network helps show where Julia Koehler Leman may publish in the future.
Co-authorship network of co-authors of Julia Koehler Leman
This figure shows the co-authorship network connecting the top 25 collaborators of Julia Koehler Leman. A scholar is included among the top collaborators of Julia Koehler Leman 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 Julia Koehler Leman. Julia Koehler Leman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 60 | |
| 4 | 44 | |
| 5 | 2 | |
| 6 | 21 | |
| 7 | Structure-based protein function prediction using graph convolutional networksbreakdown → | 467 |
| 8 | 24 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 19 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 28 | |
| 18 | 15 | |
| 19 | 1 | |
| 20 | 111 |
About Julia Koehler Leman
Julia Koehler Leman is a scholar working on Molecular Biology, Clinical Biochemistry and Biochemistry, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (19 papers), RNA and protein synthesis mechanisms (8 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Molecular Biology (869 citations), Computational Theory and Mathematics (148 citations) and Biophysics (28 citations). Julia Koehler Leman has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Richard Bonneau, Jeffrey J. Gray, Vladimir Gligorijević, Daniel Berenberg, Kyunghyun Cho, Ramnik J. Xavier, Tomasz Kościółek, Tommi Vatanen, Chris Chandler and Rob Knight. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Biotechnology.
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.