Grace A. Blackwell

51 total papers · 1.1k total citations
23 papers, 556 citations indexed

About

Grace A. Blackwell is a scholar working on Molecular Medicine, Endocrinology and Molecular Biology. According to data from OpenAlex, Grace A. Blackwell has authored 23 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Medicine, 10 papers in Endocrinology and 9 papers in Molecular Biology. Recurrent topics in Grace A. Blackwell's work include Antibiotic Resistance in Bacteria (15 papers), Vibrio bacteria research studies (6 papers) and Genomics and Phylogenetic Studies (5 papers). Grace A. Blackwell is often cited by papers focused on Antibiotic Resistance in Bacteria (15 papers), Vibrio bacteria research studies (6 papers) and Genomics and Phylogenetic Studies (5 papers). Grace A. Blackwell collaborates with scholars based in United Kingdom, Australia and Switzerland. Grace A. Blackwell's co-authors include Ruth M. Hall, Nicholas R. Thomson, Mohammad Hamidian, Steven J. Nigro, Zamin Iqbal, Gal Horesh, Stephen D. Bentley, Li Yang Hsu, Kathryn E. Holt and Eva Heinz and has published in prestigious journals such as Scientific Reports, PLoS Biology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Grace A. Blackwell

23 papers receiving 551 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Grace A. Blackwell 370 210 188 110 90 23 556
Gang Li 445 1.2× 208 1.0× 246 1.3× 79 0.7× 51 0.6× 33 601
Tung Tran 284 0.8× 216 1.0× 139 0.7× 118 1.1× 100 1.1× 17 511
Alfonso Santos-López 330 0.9× 233 1.1× 117 0.6× 121 1.1× 191 2.1× 18 592
Jean-Guillaume Emond-Rhéault 253 0.7× 390 1.9× 151 0.8× 153 1.4× 75 0.8× 22 628
María P. Cabral 412 1.1× 367 1.7× 247 1.3× 81 0.7× 85 0.9× 14 663
Julija Armalytė 195 0.5× 306 1.5× 143 0.8× 142 1.3× 118 1.3× 27 639
Tsai-Lien Liao 446 1.2× 185 0.9× 200 1.1× 92 0.8× 63 0.7× 10 544
Fernando Sanz‐García 415 1.1× 295 1.4× 94 0.5× 75 0.7× 157 1.7× 21 695
Leah W. Roberts 387 1.0× 214 1.0× 277 1.5× 92 0.8× 48 0.5× 26 659
Lu Yang 458 1.2× 174 0.8× 168 0.9× 100 0.9× 61 0.7× 24 687

Countries citing papers authored by Grace A. Blackwell

Since Specialization
Citations

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

Fields of papers citing papers by Grace A. Blackwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace A. Blackwell. 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 Grace A. Blackwell. The network helps show where Grace A. Blackwell may publish in the future.

Co-authorship network of co-authors of Grace A. Blackwell

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

All Works

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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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