Richard E. Kast

112 papers receiving 2.2k citations

Peers

Richard E. Kast
Comparison fields: 5 of 119
  • Biological Psychiatry 195
  • Genetics 454
  • Behavioral Neuroscience 122
  • Cancer Research 342
  • Psychiatry and Mental health 274
Replace Jun Wei with:
Jun Wei China
David A. Katz United States
Paolo Fagone Italy
Kazem Zibara Lebanon
Albert Amberger Austria
Jenny Wong Australia
Imola Wilhelm Hungary
Makoto Takahashi Japan
Junjun Liu China
Huan Li China
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Citations per year

Countries citing papers authored by Richard E. Kast

Since Specialization
Citations

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

Fields of papers citing papers by Richard E. Kast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard E. Kast. 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 Richard E. Kast. The network helps show where Richard E. Kast may publish in the future.

Co-authors

The 25 scholars most cited alongside Richard E. Kast, 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 Richard E. Kast Line = papers co-authored together Richard E. Kast links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006160
2 2006150
3 2012111
4 201494
5 200862
6 200353
7 200053
8 201951
9 201751
10
Involvement of MicroRNA in T-Cell Differentiation and Malignancy.
201550
11 201449
12 201348
13 201242
14 200141
15 201541
16 200538
17 202038
18 200937
19 201437
20 201335

About Richard E. Kast

Richard E. Kast is a scholar working on Molecular Biology, Genetics, Oncology, Psychiatry and Mental health and Pulmonary and Respiratory Medicine, having authored 121 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (29 papers), Cancer, Stress, Anesthesia, and Immune Response (13 papers), Cancer, Hypoxia, and Metabolism (10 papers), Tryptophan and brain disorders (6 papers), Nanoplatforms for cancer theranostics (6 papers), COVID-19 Clinical Research Studies (6 papers), HER2/EGFR in Cancer Research (5 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). The work is most often cited by research in Biological Psychiatry (195 citations), Genetics (454 citations), Behavioral Neuroscience (122 citations), Cancer Research (342 citations) and Psychiatry and Mental health (274 citations). Richard E. Kast has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Marc‐Eric Halatsch, Georg Karpel‐Massler, Eric Lewin Altschuler, Kevin F Foley, Christian Rainer Wirtz, Daniele Focosi, Ricardo Ribeiro‐dos‐Santos, Milena Botelho Pereira Soares, Mike‐Andrew Westhoff and Annika Dwucet. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, Cancers, International Journal of Molecular Sciences and Anti-Cancer Agents in Medicinal Chemistry.

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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