Jennifer A. Grabowsky

799 total citations
29 papers, 634 citations indexed

About

Jennifer A. Grabowsky is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jennifer A. Grabowsky has authored 29 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Oncology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jennifer A. Grabowsky's work include Histone Deacetylase Inhibitors Research (9 papers), Renal cell carcinoma treatment (6 papers) and Neuroendocrine Tumor Research Advances (4 papers). Jennifer A. Grabowsky is often cited by papers focused on Histone Deacetylase Inhibitors Research (9 papers), Renal cell carcinoma treatment (6 papers) and Neuroendocrine Tumor Research Advances (4 papers). Jennifer A. Grabowsky collaborates with scholars based in United States, Canada and Germany. Jennifer A. Grabowsky's co-authors include Pamela N. Münster, Michael P. Manns, Stephan C. Bischoff, Rahul Aggarwal, Scott Thomas, Alan P. Venook, Adil Daud, Jim Leng, Nela Pawłowska and Robin Kate Kelley and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Clinical Cancer Research.

In The Last Decade

Jennifer A. Grabowsky

29 papers receiving 623 citations

Peers

Jennifer A. Grabowsky
Comparison fields: 5 of 66
  • Molecular Biology 389
  • Oncology 274
  • Pulmonary and Respiratory Medicine 104
  • Cancer Research 75
  • Epidemiology 73
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Heather M. Shaw United Kingdom View profile →
Citations per field, relative to Jennifer A. Grabowsky
Jennifer A. Grabowsky · 1×
Citations per year, relative to Jennifer A. Grabowsky
Jennifer A. Grabowsky · 1×

Countries citing papers authored by Jennifer A. Grabowsky

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. Grabowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer A. Grabowsky

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Grabowsky. A scholar is included among the top collaborators of Jennifer A. Grabowsky 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 Jennifer A. Grabowsky. Jennifer A. Grabowsky 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 1
2 2
3 6
4 6
5 1
6 4
7 18
8 6
9 5
10 1
11 20
12 76
13 58
14 24
15 1
16 153
17 8
18 50
19 3
20 78

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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