Fiona M. McRobb

627 total citations
15 papers, 440 citations indexed

About

Fiona M. McRobb is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fiona M. McRobb has authored 15 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fiona M. McRobb's work include Receptor Mechanisms and Signaling (9 papers), Computational Drug Discovery Methods (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Fiona M. McRobb is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Computational Drug Discovery Methods (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Fiona M. McRobb collaborates with scholars based in United States, Australia and Netherlands. Fiona M. McRobb's co-authors include Elizabeth Yuriev, Ben Capuano, Ian T. Crosby, Ruben Abagyan, Irina Kufareva, David K. Chalmers, Woody Sherman, Thijs Beuming, Ana Negri and J. Robert Lane and has published in prestigious journals such as Environmental Science & Technology, Blood and Journal of Medicinal Chemistry.

In The Last Decade

Fiona M. McRobb

15 papers receiving 428 citations

Peers

Fiona M. McRobb
Comparison fields: 5 of 80
  • Molecular Biology 323
  • Computational Theory and Mathematics 141
  • Cellular and Molecular Neuroscience 100
  • Organic Chemistry 58
  • Radiology, Nuclear Medicine and Imaging 55
Replace Andjelka S. Ćelić with:
Andjelka S. Ćelić Serbia
Magdalena Korczynska United States
Ming-Yue Lee United States
Márton Vass Netherlands
Xavier Kubiak France
Vincent Martin France
Ernest Bock United States
Gilbert Diaz United States
Jasmina Marjanovic United States
John T. Herberg United States
Andjelka S. Ćelić Serbia View profile →
Citations per field, relative to Fiona M. McRobb
Fiona M. McRobb · 1×
Citations per year, relative to Fiona M. McRobb
Fiona M. McRobb · 1×

Countries citing papers authored by Fiona M. McRobb

Since Specialization
Citations

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

Fields of papers citing papers by Fiona M. McRobb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona M. McRobb. 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 Fiona M. McRobb. The network helps show where Fiona M. McRobb may publish in the future.

Co-authorship network of co-authors of Fiona M. McRobb

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 2
2 28
3 24
4 110
5 17
6 29
7 44
8 16
9 19
10 18
11 40
12 2
13 78
14 5
15 8

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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