Katherine Chastain

92 total papers · 1.1k total citations
44 papers, 585 citations indexed

About

Katherine Chastain is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Katherine Chastain has authored 44 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hematology, 20 papers in Molecular Biology and 17 papers in Oncology. Recurrent topics in Katherine Chastain's work include Multiple Myeloma Research and Treatments (27 papers), Protein Degradation and Inhibitors (13 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Katherine Chastain is often cited by papers focused on Multiple Myeloma Research and Treatments (27 papers), Protein Degradation and Inhibitors (13 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Katherine Chastain collaborates with scholars based in United States, Spain and Netherlands. Katherine Chastain's co-authors include Dharmalingam Subramaniam, Shrikant Anant, Prasad Dandawate, Gaurav Kaushik, Kathleen Neville, Scott J. Weir, Prabhu Ramamoorthy, James B. Bussel, Michelle Mahler and Nicole Kucine and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Katherine Chastain

39 papers receiving 578 citations

Author Peers

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

Author Last Decade Papers Cites
Katherine Chastain 271 234 191 93 86 44 585
Yunxiang Zhang 199 0.7× 193 0.8× 78 0.4× 119 1.3× 60 0.7× 42 544
Carolin Müller 144 0.5× 180 0.8× 137 0.7× 91 1.0× 118 1.4× 37 659
Qizhe Cai 233 0.9× 135 0.6× 202 1.1× 60 0.6× 76 0.9× 32 550
Oliver J. Stoetzer 255 0.9× 205 0.9× 60 0.3× 112 1.2× 96 1.1× 29 623
G Kōsaki 207 0.8× 188 0.8× 153 0.8× 76 0.8× 77 0.9× 40 685
W. Jens Zeller 222 0.8× 216 0.9× 223 1.2× 51 0.5× 40 0.5× 36 631
Takuro Nishikawa 219 0.8× 239 1.0× 118 0.6× 106 1.1× 76 0.9× 60 673
Kunitake Hirashima 218 0.8× 126 0.5× 410 2.1× 65 0.7× 47 0.5× 44 698
Mohammad R. Nowrousian 248 0.9× 236 1.0× 358 1.9× 34 0.4× 55 0.6× 31 690
Sagar Sardesai 172 0.6× 171 0.7× 109 0.6× 84 0.9× 90 1.0× 47 589

Countries citing papers authored by Katherine Chastain

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Chastain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Chastain

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