Nuria Assa‐Munt
- Molecular Biology top 5%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- Guy S. SalvesenGuo‐Ping ZhouJohn C. ReedKate WelshDale E. BredesenShahrooz RabizadehRyōsuke TakahashiQuinn L. Deveraux
- Topics
- DNA and Nucleic Acid Chemistry (8 papers)Protein Structure and Dynamics (5 papers)Glycosylation and Glycoproteins Research (3 papers)
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Nuria Assa‐Munt
27 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 2.1k
- Genetics 582
- Cellular and Molecular Neuroscience 394
- Oncology 340
- Immunology 298
Countries citing papers authored by Nuria Assa‐Munt
This map shows the geographic impact of Nuria Assa‐Munt'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 Nuria Assa‐Munt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nuria Assa‐Munt more than expected).
Fields of papers citing papers by Nuria Assa‐Munt
This network shows the impact of papers produced by Nuria Assa‐Munt. 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 Nuria Assa‐Munt. The network helps show where Nuria Assa‐Munt may publish in the future.
Co-authorship network of co-authors of Nuria Assa‐Munt
This figure shows the co-authorship network connecting the top 25 collaborators of Nuria Assa‐Munt. A scholar is included among the top collaborators of Nuria Assa‐Munt 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 Nuria Assa‐Munt. Nuria Assa‐Munt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 250 | |
| 5 | 35 | |
| 6 | 33 | |
| 7 | 21 | |
| 8 | 18 | |
| 9 | 334 | |
| 10 | A Single BIR Domain of XIAP Sufficient for Inhibiting Caspasesbreakdown → | 507 |
| 11 | 77 | |
| 12 | 80 | |
| 13 | Determinants of coactivator LXXLL motif specificity in nuclear receptor transcriptional activationbreakdown → | 503 |
| 14 | 8 | |
| 15 | 16 | |
| 16 | 114 | |
| 17 | 45 | |
| 18 | 33 | |
| 19 | 26 | |
| 20 | 48 |
About Nuria Assa‐Munt
Nuria Assa‐Munt is a scholar working on Virology, Molecular Biology and Immunology and Allergy, having authored 27 papers that have together received 2.7k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (8 papers), Protein Structure and Dynamics (5 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cellular and Molecular Neuroscience (394 citations) and Genetics (582 citations). Nuria Assa‐Munt has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Guy S. Salvesen, Guo‐Ping Zhou, John C. Reed, Kate Welsh, Dale E. Bredesen, Shahrooz Rabizadeh, Ryōsuke Takahashi, Quinn L. Deveraux, Ingo Tamm and David R. Kearns. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.