Gisel E. Peña Murillo

643 citations
8 papers · 484 · 1 hit paper · h-index 7

Impact in

Papers in

Gisel E. Peña Murillo

8 papers receiving 475 citations

Gisel E. Peña Murillo's Hit Papers

X-ray screening identifies active site and allosteric inhibitors of SARS-CoV-2 main protease 2021 · 279 citations
2790+1+3Years since publication50100150200250

Peers

Gisel E. Peña Murillo
Comparison fields: 5 of 72
  • Structural Biology 51
  • Computational Theory and Mathematics 169
  • Infectious Diseases 138
  • Radiation 63
  • Drug Discovery 1
Replace N. Werner with:
N. Werner Germany
Julia Lieske Germany
M. Domaracký Germany
M. Galchenkova Germany
V. Hennicke Germany
Ivars Karpičs Germany
Aida Rahmani Mashhour Germany
Xiaojun Huang China
Lee W. Tremblay United States
Cromarte Rogers Germany
Gisel E. Peña Murillo relative to N. Werner Germany N. Werner's profile →
Citations per field
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N. Werner · 1×
Citations per year

Countries citing papers authored by Gisel E. Peña Murillo

Since Specialization
Citations

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

Fields of papers citing papers by Gisel E. Peña Murillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gisel E. Peña Murillo. 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 Gisel E. Peña Murillo. The network helps show where Gisel E. Peña Murillo may publish in the future.

Co-authors

The 14 scholars most cited alongside Gisel E. Peña Murillo, 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 Gisel E. Peña Murillo Line = papers co-authored together Gisel E. Peña Murillo links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
X-ray screening identifies active site and allosteric inhibitors of SARS-CoV-2 main protease
Hit paper breakdown →
2021279
2 2020127
3 201931
4 202314
5 202214
6 202311
7 20247
8 20211

About Gisel E. Peña Murillo

Gisel E. Peña Murillo is a scholar working on Structural Biology, Radiation, Biochemistry, Materials Chemistry and Insect Science, having authored 8 papers that have together received 484 indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Enzyme Structure and Function (3 papers), Insect Resistance and Genetics (1 paper), Particle Accelerators and Free-Electron Lasers (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Photosynthetic Processes and Mechanisms (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Structural Biology (51 citations), Computational Theory and Mathematics (169 citations), Infectious Diseases (138 citations), Radiation (63 citations) and Drug Discovery (1 citation). Gisel E. Peña Murillo has collaborated with scholars based in Germany, Australia and Slovenia. Frequent co-authors include J. Knoška, Dominik Oberthuer, Iosifina Sarrou, Max O. Wiedorn, Kenneth R. Beyerlein, Salah Awel, Fabian Wilde, Pablo Villanueva‐Perez, Oleksandr M. Yefanov and Nils Roth. Their work appears in journals such as Nature Communications, Communications Biology, Science, Proceedings of the National Academy of Sciences and Structural Dynamics.

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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