Keith B. Glaser

6.6k total citations · 1 hit paper
108 papers, 4.9k citations indexed

About

Keith B. Glaser is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Keith B. Glaser has authored 108 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 24 papers in Oncology and 16 papers in Hematology. Recurrent topics in Keith B. Glaser's work include Histone Deacetylase Inhibitors Research (17 papers), Protein Degradation and Inhibitors (17 papers) and Acute Myeloid Leukemia Research (11 papers). Keith B. Glaser is often cited by papers focused on Histone Deacetylase Inhibitors Research (17 papers), Protein Degradation and Inhibitors (17 papers) and Acute Myeloid Leukemia Research (11 papers). Keith B. Glaser collaborates with scholars based in United States, United Kingdom and Singapore. Keith B. Glaser's co-authors include Steven K. Davidsen, Robert S. Jacobs, Alejandro M. S. Mayer, Michael J. Staver, Jeffrey F. Waring, Roger G. Ulrich, Joshua D. Stender, Michael L. Curtin, Patrick A. Marcotte and Daniel H. Albert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Keith B. Glaser

103 papers receiving 4.7k citations

Hit Papers

The odyssey of marine pharmaceuticals: a current pipeline... 2010 2026 2015 2020 2010 100 200 300 400

Peers

Keith B. Glaser
Comparison fields: 5 of 130
  • Molecular Biology 2.8k
  • Pharmacology 842
  • Organic Chemistry 789
  • Oncology 774
  • Immunology 657
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Citations per field, relative to Keith B. Glaser
Keith B. Glaser · 1×
Citations per year, relative to Keith B. Glaser
Keith B. Glaser · 1×

Countries citing papers authored by Keith B. Glaser

Since Specialization
Citations

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

Fields of papers citing papers by Keith B. Glaser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith B. Glaser. 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 Keith B. Glaser. The network helps show where Keith B. Glaser may publish in the future.

Co-authorship network of co-authors of Keith B. Glaser

This figure shows the co-authorship network connecting the top 25 collaborators of Keith B. Glaser. A scholar is included among the top collaborators of Keith B. Glaser 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 Keith B. Glaser. Keith B. Glaser 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
# Work Indexed citations
1 2
2 27
3 18
4 19
5 24
6 39
7 27
8 31
9 31
10 293
11 33
12
ABT-869 a novel multi-targeted receptor tyrosine kinase inhibitor: characterization of FLT3 phosphorylation in a model of acute myelogenous leukemia
0
13 51
14 37
15
Gene expression profiling of multiple histone deacetylase (HDAC) inhibitors: defining a common gene set produced by HDAC inhibition in T24 and MDA carcinoma cell lines.
445
16 41
17 20
18 3
19 15
20 6

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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