Mark A. Eckardt

38 papers receiving 981 citations

Peers

Mark A. Eckardt
Comparison fields: 5 of 60
  • Biotechnology 284
  • Pulmonary and Respiratory Medicine 386
  • Oncology 106
  • Cancer Research 55
  • Biochemistry 25
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Elke Binot Germany
Roberta Costa Italy
Patrice Ardouin France
Jason G. Fewell United States
Lelia C Noble United States
Astero Klampatsa United Kingdom
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Naoyuki Hanari Japan
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Citations per year

Countries citing papers authored by Mark A. Eckardt

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Eckardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark A. Eckardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark A. Eckardt Line = papers co-authored together Mark A. Eckardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PD-0332991, a potent and selective inhibitor of cyclin-dependent kinase 4/6, demonstrates inhibition of proliferation in renal cell carcinoma at nanomolar concentrations and molecular markers predict for sensitivity.
201393
2 201691
3 201870
4 201864
5 201757
6 201540
7 201740
8 201137
9 201837
10 201834
11 201732
12 201832
13 201832
14 201631
15 201827
16 201325
17 201724
18 201322
19 201619
20 201819

About Mark A. Eckardt

Mark A. Eckardt is a scholar working on Pulmonary and Respiratory Medicine, Biotechnology, Pathology and Forensic Medicine, Rheumatology and Neurology, having authored 41 papers that have together received 984 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (22 papers), Cancer Research and Treatments (8 papers), Spine and Intervertebral Disc Pathology (3 papers), Bone Tumor Diagnosis and Treatments (2 papers), Renal cell carcinoma treatment (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Biotechnology (284 citations), Pulmonary and Respiratory Medicine (386 citations), Oncology (106 citations), Cancer Research (55 citations) and Biochemistry (25 citations). Mark A. Eckardt has collaborated with scholars based in United States, Japan and Thailand. Frequent co-authors include Fritz C. Eilber, Arun S. Singh, Scott D. Nelson, Sarah Dry, Remi M. Ajiboye, Jason Taizo Hamamoto, Jeffrey C. Wang, Nicholas Matthew Bernthal, Kei Kawaguchi and Tasuku Kiyuna. Their work appears in journals such as Oncotarget, Journal of Cellular Biochemistry, Biochemical and Biophysical Research Communications, Annals of Surgical Oncology and Journal of Pediatric Hematology/Oncology.

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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