Joan L. Arolas

1.3k citations
43 papers · 1.0k indexed · h-index 18
Topics
Peptidase Inhibition and Analysis (21 papers)Biochemical and Structural Characterization (16 papers)Protease and Inhibitor Mechanisms (11 papers)

In The Last Decade

Joan L. Arolas

42 papers receiving 975 citations

Peers

Joan L. Arolas
Comparison fields: 5 of 88
  • Molecular Biology 688
  • Oncology 281
  • Cell Biology 164
  • Cancer Research 142
  • Biotechnology 115
Replace Maria Helena S. Cezari with:
Maria Helena S. Cezari Brazil
Mercedes Pardo United Kingdom
Norbert Schaschke Germany
Jonathan A. Ellman United States
Henry Zebroski United States
Chantal Illy France
Len C. Packman United Kingdom
Paul P. Geurink Netherlands
Desirée Verwoerd Netherlands
Ira Palmer United States
Joan L. Arolas relative to Maria Helena S. Cezari Brazil Maria Helena S. Cezari's profile →
Citations per field
00.5×3.8×
Maria Helena S. Cezari · 1×
Citations per year

Countries citing papers authored by Joan L. Arolas

Since Specialization
Citations

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

Fields of papers citing papers by Joan L. Arolas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan L. Arolas. 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 Joan L. Arolas. The network helps show where Joan L. Arolas may publish in the future.

Co-authorship network of co-authors of Joan L. Arolas

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 8
3 4
4 8
5 15
6 25
7 8
8 10
9 7
10 14
11 13
12 14
13 8
14 86
15 18
16 10
17 15
18 54
19 24
20 69

About Joan L. Arolas

Joan L. Arolas is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (21 papers), Biochemical and Structural Characterization (16 papers) and Protease and Inhibitor Mechanisms (11 papers). The work is most often cited by research in Biotechnology (115 citations), Oncology (281 citations) and Cell Biology (164 citations). Joan L. Arolas has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Francesc Avilés, F. Xavier Gomis‐Rüth, Salvador Ventura, Jui‐Yoa Chang, Theodoros Goulas, Júlia Lorenzo, Josep Vendrell, Christian P. Sommerhoff, Lloyd D. Fricker and Robert Huber. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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