Gary E. Schiltz
- Biological Psychiatry top 10%
- Molecular Biology top 10%
- Protein Degradation and Inhibitors 11
- Chemical Synthesis and Analysis 6
- Biochemical and Molecular Research 4
- Ubiquitin and proteasome pathways 4
- Receptor Mechanisms and Signaling 4
- Cancer Research top 10%
- Oncology top 10%
- Organic Chemistry top 10%
- Click Chemistry and Applications 4
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- HIV/AIDS drug development and treatment 5
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- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Rama K. MishraArun K. GhoshGeoffrey BilcerSarki A. AbdulkadirJindan YuAtul D. JainBrian T. LaydenHuiying Han
- Journals
- Journal of Medicinal Chemistry (4 papers)Journal of Biological Chemistry (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- United StatesPhilippinesJapan
In The Last Decade
Gary E. Schiltz
49 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Biological Psychiatry 52
- Molecular Biology 910
- Cancer Research 185
- Oncology 306
- Organic Chemistry 265
Countries citing papers authored by Gary E. Schiltz
This map shows the geographic impact of Gary E. Schiltz'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 Gary E. Schiltz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary E. Schiltz more than expected).
Fields of papers citing papers by Gary E. Schiltz
This network shows the impact of papers produced by Gary E. Schiltz. 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 Gary E. Schiltz. The network helps show where Gary E. Schiltz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary E. Schiltz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 37 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 1 | |
| 12 | 2019 | 17 | |
| 13 | Small-Molecule MYC Inhibitors Suppress Tumor Growth and Enhance Immunotherapybreakdown → | 2019 | 302 |
| 14 | 2019 | 6 | |
| 15 | 2018 | 50 | |
| 16 | 2017 | 40 | |
| 17 | 2016 | 89 | |
| 18 | 2015 | 17 | |
| 19 | 2002 | 15 | |
| 20 | 2001 | 99 |
About Gary E. Schiltz
Gary E. Schiltz is a scholar working on Genetics, Hematology, Molecular Biology, Organic Chemistry and Oncology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (11 papers), Chemical Synthesis and Analysis (6 papers), HIV/AIDS drug development and treatment (5 papers), Biochemical and Molecular Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Click Chemistry and Applications (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Biological Psychiatry (52 citations), Molecular Biology (910 citations), Cancer Research (185 citations), Oncology (306 citations) and Organic Chemistry (265 citations). Gary E. Schiltz has collaborated with scholars based in United States, Philippines and Japan. Frequent co-authors include Rama K. Mishra, Arun K. Ghosh, Geoffrey Bilcer, Sarki A. Abdulkadir, Jindan Yu, Atul D. Jain, Brian T. Layden, Huiying Han, J. Brandon Parker and Debabrata Chakravarti. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Clinical Investigation and ChemMedChem.
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.