Daniel Shoemaker
- Molecular Biology top 2%
- Fungal and yeast genetics research 5
- RNA and protein synthesis mechanisms 5
- Gene expression and cancer classification 5
- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 4
- Genomics and Chromatin Dynamics 4
- Cancer Research top 10%
- Aging top 10%
- Genetics top 10%
- Pharmacology top 10%
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- CAR-T cell therapy research 5
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- Hematopoietic Stem Cell Transplantation 4
- Co-authors
- Eric E. SchadtJason M. JohnsonRonald W. DavisChristopher D. ArmourPhilip W. Garrett-EngeleRoland StoughtonJohn C. CastlePatrick Loerch
- Partner nations
- United StatesItalyJapan
In The Last Decade
Daniel Shoemaker
26 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 2.8k
- Cancer Research 275
- Aging 30
- Genetics 332
- Pharmacology 154
Countries citing papers authored by Daniel Shoemaker
This map shows the geographic impact of Daniel Shoemaker'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 Daniel Shoemaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Shoemaker more than expected).
Fields of papers citing papers by Daniel Shoemaker
This network shows the impact of papers produced by Daniel Shoemaker. 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 Daniel Shoemaker. The network helps show where Daniel Shoemaker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Shoemaker, 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 | 2017 | 1 | |
| 2 | 2017 | 1 | |
| 3 | 2016 | 3 | |
| 4 | 2015 | 2 | |
| 5 | 2014 | 1 | |
| 6 | 2012 | 62 | |
| 7 | 2011 | 2 | |
| 8 | 2010 | 1 | |
| 9 | 2004 | 374 | |
| 10 | 2004 | 289 | |
| 11 | 2003 | 70 | |
| 12 | 2003 | 22 | |
| 13 | 2003 | 66 | |
| 14 | 2002 | 58 | |
| 15 | 2001 | 115 | |
| 16 | 2001 | 39 | |
| 17 | 2000 | 16 | |
| 18 | 1999 | 417 | |
| 19 | 1996 | 413 | |
| 20 | 1990 | 5 |
About Daniel Shoemaker
Daniel Shoemaker is a scholar working on Hematology, Pharmaceutical Science, Molecular Biology, Oncology and Immunology, having authored 26 papers that have together received 3.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Fungal and yeast genetics research (5 papers), RNA and protein synthesis mechanisms (5 papers), Gene expression and cancer classification (5 papers), Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (4 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Cancer Research (275 citations), Aging (30 citations), Genetics (332 citations) and Pharmacology (154 citations). Daniel Shoemaker has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Eric E. Schadt, Jason M. Johnson, Ronald W. Davis, Christopher D. Armour, Philip W. Garrett-Engele, Roland Stoughton, John C. Castle, Patrick Loerch, Zhengyan Kan and Jef D. Boeke. Their work appears in journals such as Blood, Nature Genetics, Science, International Journal of Chemical Kinetics and Yeast.
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.