Phillip Koeffler
- Co-authors
- Anthony W. NormanRichard G. BarbersHelmut ReichelSven de VosMichael FleischhackerSharon P. WilczynskiGen SuzukiMakoto Akashi
- Topics
- Acute Myeloid Leukemia Research (4 papers)Acute Lymphoblastic Leukemia research (4 papers)Retinoids in leukemia and cellular processes (3 papers)
- Journals
- Proceedings of the National Academy of SciencesBloodThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Phillip Koeffler
22 papers receiving 580 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 277
- Pathology and Forensic Medicine 125
- Immunology 107
- Oncology 95
- Genetics 79
Countries citing papers authored by Phillip Koeffler
This map shows the geographic impact of Phillip Koeffler'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 Phillip Koeffler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Koeffler more than expected).
Fields of papers citing papers by Phillip Koeffler
This network shows the impact of papers produced by Phillip Koeffler. 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 Phillip Koeffler. The network helps show where Phillip Koeffler may publish in the future.
Co-authorship network of co-authors of Phillip Koeffler
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Koeffler. A scholar is included among the top collaborators of Phillip Koeffler 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 Phillip Koeffler. Phillip Koeffler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 78 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 69 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | Molecular allelokaryotyping of pediatric acute lymphoblastic leukemias by high resolution single nucleotide polymorphism oligonucleotide microarray. | 4 |
| 10 | 17 | |
| 11 | 10 | |
| 12 | 20 | |
| 13 | Modulation of CD95 in leukemia and lymphoma cells by retinoids. | 2 |
| 14 | 44 | |
| 15 | 4 | |
| 16 | 66 | |
| 17 | 81 | |
| 18 | 136 | |
| 19 | 5 | |
| 20 | 23 |
About Phillip Koeffler
Phillip Koeffler is a scholar working on Hematology, Pathology and Forensic Medicine and Genetics, having authored 22 papers that have together received 599 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (125 citations), Obstetrics and Gynecology (40 citations) and Immunology (107 citations). Phillip Koeffler has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Anthony W. Norman, Richard G. Barbers, Helmut Reichel, Sven de Vos, Michael Fleischhacker, Sharon P. Wilczynski, Gen Suzuki, Makoto Akashi, Elena Elstner and Jaydutt V. Vadgama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Clinical Endocrinology & Metabolism.
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.