Paul Koller

1.0k citations
46 papers · 369 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Paul Koller

39 papers receiving 362 citations

Peers

Paul Koller
Comparison fields: 5 of 54
  • Hematology 100
  • Hepatology 50
  • Oncology 163
  • Genetics 56
  • Immunology 72
Replace Keiko Kagami with:
Keiko Kagami Japan
Marie Jaksch Sweden
Angélique Brunot France
Matthew Lumley United Kingdom
Ender Soydan Türkiye
Alissa Visram Canada
Jean Jacques Sotto France
Yizhuo Zhang China
Cheol Won Suh South Korea
Honghui Huang China
Paul Koller relative to Keiko Kagami Japan Keiko Kagami's profile →
Citations per field
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Keiko Kagami · 1×
Citations per year

Countries citing papers authored by Paul Koller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Paul Koller Line = papers co-authored together Paul Koller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019154
2 201128
3 202027
4
Inhibition of c-MET upregulates PD-L1 expression in lung adenocarcinoma.
202021
5 201511
6 202310
7 20189
8 20229
9 20238
10 20228
11 20218
12 20247
13 20217
14 20215
15 20234
16 20154
17 20224
18 20164
19 20214
20 20223

About Paul Koller

Paul Koller is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Molecular Biology and Oncology, having authored 46 papers that have together received 369 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Chronic Myeloid Leukemia Treatments (21 papers), Acute Lymphoblastic Leukemia research (19 papers), Chronic Lymphocytic Leukemia Research (11 papers), CAR-T cell therapy research (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Histone Deacetylase Inhibitors Research (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (100 citations), Hepatology (50 citations), Oncology (163 citations), Genetics (56 citations) and Immunology (72 citations). Paul Koller has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Mien‐Chie Hung, Jennifer L. Hsu, Xian Wen Sun, Jung-Mao Hsu, Weiya Xia, Chunxiao Liu, Qingqing Ding, Xiaoqiang Li, Qing‐Hai Ye and Chia‐Wei Li. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, American Journal of Hematology 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.

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