Paul Koller
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hepatology top 10%
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Hematology 35
- Acute Myeloid Leukemia Research 22
- Chronic Myeloid Leukemia Treatments 21
- Hematopoietic Stem Cell Transplantation 4
-
- Acute Lymphoblastic Leukemia research 19
- Co-authors
- Mien‐Chie Hung (5 shared papers)Xian Wen Sun (4 shared papers)Jennifer L. Hsu (3 shared papers)Weiya Xia (2 shared papers)Jung-Mao Hsu (2 shared papers)Chunxiao Liu (1 shared paper)Hui Li (1 shared paper)Xiaoqiang Li (1 shared paper)
- Journals
- Blood (15 papers)Journal of Clinical Oncology (4 papers)American Journal of Hematology (3 papers)British Journal of Haematology (3 papers)Cancer (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Paul Koller
44 papers receiving 382 citations
Peers
Comparison fields: 5 of 49
- Hematology 103
- Hepatology 48
- Oncology 139
- Genetics 49
- Immunology 67
Countries citing papers authored by Paul Koller
This map shows the geographic impact of Paul Koller'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 Paul Koller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Koller more than expected).
Fields of papers citing papers by Paul Koller
This network shows the impact of papers produced by Paul Koller. 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 Paul Koller. The network helps show where Paul Koller may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Koller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 161 | |
| 2 | 2011 | 28 | |
| 3 | 2020 | 27 | |
| 4 | Inhibition of c-MET upregulates PD-L1 expression in lung adenocarcinoma. | 2020 | 21 |
| 5 | 2015 | 11 | |
| 6 | 2022 | 10 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2016 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2015 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2017 | 3 |
About Paul Koller
Paul Koller is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Molecular Biology and Oncology, having authored 47 papers that have together received 389 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Chronic Myeloid Leukemia Treatments (21 papers), Acute Lymphoblastic Leukemia research (19 papers), Chronic Lymphocytic Leukemia Research (10 papers), CAR-T cell therapy research (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (103 citations), Hepatology (48 citations), Oncology (139 citations), Genetics (49 citations) and Immunology (67 citations). Paul Koller has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Mien‐Chie Hung, Xian Wen Sun, Jennifer L. Hsu, Weiya Xia, Jung-Mao Hsu, Chunxiao Liu, Hui Li, Xiaoqiang Li, Chien‐Chen Lai and Hirohito Yamaguchi. Their work appears in journals such as Blood, Journal of Clinical Oncology, American Journal of Hematology, British Journal of Haematology and Cancer.
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.