Diane Wuest

20 total papers · 457 total citations
14 papers, 347 citations indexed

About

Diane Wuest is a scholar working on Oncology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Diane Wuest has authored 14 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Diane Wuest's work include Barrier Structure and Function Studies (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Computational Drug Discovery Methods (3 papers). Diane Wuest is often cited by papers focused on Barrier Structure and Function Studies (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Computational Drug Discovery Methods (3 papers). Diane Wuest collaborates with scholars based in United States, Austria and Canada. Diane Wuest's co-authors include Kelvin H. Lee, G. Adolph Ackerman, J. J. Rinehart, Sarah W. Harcum, Iya Khalil, Boris Hayete, Bruce W. Church, Michael T. Beste, Jeanne C. Latourelle and Tiffany C. Hadzi and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Diane Wuest

14 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
Diane Wuest	93	92	81	45	45	14	347
Christoph Mahler	87 0.9×	62 0.7×	63 0.8×	95 2.1×	38 0.8×	24	349
Antoine Fournier	114 1.2×	54 0.6×	125 1.5×	50 1.1×	62 1.4×	19	353
K Nishimoto	108 1.2×	63 0.7×	87 1.1×	57 1.3×	16 0.4×	17	343
Divya Channappa	109 1.2×	77 0.8×	186 2.3×	42 0.9×	88 2.0×	10	361
Ju Qiao	75 0.8×	72 0.8×	31 0.4×	79 1.8×	18 0.4×	22	344
Michael Fassler	92 1.0×	40 0.4×	157 1.9×	49 1.1×	76 1.7×	15	343
Qinchuan Liang	145 1.6×	125 1.4×	46 0.6×	70 1.6×	41 0.9×	17	396
Tom Jaspers	170 1.8×	84 0.9×	54 0.7×	67 1.5×	20 0.4×	13	310
Gorm Pihl-Jensen	74 0.8×	64 0.7×	56 0.7×	18 0.4×	51 1.1×	16	345
A Ridley	68 0.7×	97 1.1×	56 0.7×	61 1.4×	42 0.9×	23	343

Countries citing papers authored by Diane Wuest

Since Specialization

Citations

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

Fields of papers citing papers by Diane Wuest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane Wuest. 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 Diane Wuest. The network helps show where Diane Wuest may publish in the future.

Co-authorship network of co-authors of Diane Wuest

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Wuest. A scholar is included among the top collaborators of Diane Wuest 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 Diane Wuest. Diane Wuest 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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