Kim M. Blakely

25 total papers · 722 total citations
11 papers, 491 citations indexed

About

Kim M. Blakely is a scholar working on Molecular Biology, Dermatology and Oncology. According to data from OpenAlex, Kim M. Blakely has authored 11 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Dermatology and 3 papers in Oncology. Recurrent topics in Kim M. Blakely's work include Fungal Infections and Studies (1 paper), Enzyme Structure and Function (1 paper) and Patient-Provider Communication in Healthcare (1 paper). Kim M. Blakely is often cited by papers focused on Fungal Infections and Studies (1 paper), Enzyme Structure and Function (1 paper) and Patient-Provider Communication in Healthcare (1 paper). Kim M. Blakely collaborates with scholars based in Canada, United States and Italy. Kim M. Blakely's co-authors include Cheryl F. Rosen, Aaron M. Drucker, Gerard D. Wright, Laura Rossi, Michaela Spitzer, Linda Ejim, Jan Wildenhain, Emma Griffiths, Jasna Ćurak and Gianfranco De Pascale and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Molecular Systems Biology.

In The Last Decade

Kim M. Blakely

11 papers receiving 484 citations

Author Peers

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

Author Last Decade Papers Cites
Kim M. Blakely 202 111 108 103 60 11 491
Malcolm J.M. Darkes 182 0.9× 159 1.4× 35 0.3× 39 0.4× 38 0.6× 17 479
Coline Trichot 193 1.0× 67 0.6× 121 1.1× 44 0.4× 57 0.9× 12 499
Adriana López-Bárcenas 105 0.5× 126 1.1× 134 1.2× 63 0.6× 45 0.8× 11 431
Karen Williamson 186 0.9× 51 0.5× 124 1.1× 54 0.5× 14 0.2× 10 544
L Köhler 198 1.0× 113 1.0× 22 0.2× 41 0.4× 38 0.6× 19 537
Angela M. Fieno 158 0.8× 147 1.3× 45 0.4× 15 0.1× 94 1.6× 11 426
Katharina Bitschar 261 1.3× 91 0.8× 88 0.8× 24 0.2× 83 1.4× 9 482
J. Mao 139 0.7× 260 2.3× 95 0.9× 88 0.9× 17 0.3× 9 465
Arun Kapoor 141 0.7× 174 1.6× 57 0.5× 34 0.3× 20 0.3× 17 480
Bernard J. Sloan 156 0.8× 128 1.2× 46 0.4× 63 0.6× 9 0.1× 15 426

Countries citing papers authored by Kim M. Blakely

Since Specialization
Citations

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

Fields of papers citing papers by Kim M. Blakely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim M. Blakely

This figure shows the co-authorship network connecting the top 25 collaborators of Kim M. Blakely. A scholar is included among the top collaborators of Kim M. Blakely 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 Kim M. Blakely. Kim M. Blakely 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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