Fabian Acker

434 citations
26 papers · 280 · h-index 8

Impact in

    • Acute Myeloid Leukemia Research
    • CAR-T cell therapy research
    • Lung Cancer Research Studies

Papers in

    • Lung Cancer Research Studies 4
    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 2
    • Acute Myeloid Leukemia Research 4
    • Hematopoietic Stem Cell Transplantation 1

Fabian Acker

17 papers receiving 276 citations

Peers

Fabian Acker
Comparison fields: 5 of 36
  • Hematology 62
  • Oncology 116
  • Pathology and Forensic Medicine 63
  • Cancer Research 31
  • Genetics 18
Replace Iara Zapparoli Gonçalves with:
Iara Zapparoli Gonçalves United States
Nour K. Abuhadra United States
Robin Meng United States
Mark Yan United States
Hsiao‐Wen Kao Taiwan
Thomas Cheng United States
Daisuke Ogiya Japan
Ilia Galkin United States
Zhiming Li China
Tannie Q. Huang United States
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Citations per field
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Citations per year

Countries citing papers authored by Fabian Acker

Since Specialization
Citations

This map shows the geographic impact of Fabian Acker'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 Fabian Acker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Acker more than expected).

Fields of papers citing papers by Fabian Acker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabian Acker. 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 Fabian Acker. The network helps show where Fabian Acker may publish in the future.

Co-authors

The 25 scholars most cited alongside Fabian Acker, 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 Fabian Acker Line = papers co-authored together Fabian Acker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022105
2 202170
3 202123
4 202217
5 201911
6 201810
7 202210
8 20239
9 20247
10 20254
11 20202
12 20252
13 20242
14 20232
15 20252
16 20261
17 20251
18 20121
19 20251
20 20240

About Fabian Acker

Fabian Acker is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Dermatology, having authored 26 papers that have together received 280 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Acute Myeloid Leukemia Research (4 papers), Lung Cancer Research Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Lymphoma Diagnosis and Treatment (3 papers), CAR-T cell therapy research (2 papers), Cancer Genomics and Diagnostics (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Hematology (62 citations), Oncology (116 citations), Pathology and Forensic Medicine (63 citations), Cancer Research (31 citations) and Genetics (18 citations). Fabian Acker has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Martin Sebastian, Hubert L. Serve, Jan Stratmann, Peter Johannes Wild, Sebastian Wagner, Frank Neumann, Joerg Thomas Bittenbring, Michael G. Pfreundschuh, Sebastian Scheich and Victoria Therese Mücke. Their work appears in journals such as Clinical Lung Cancer, Journal of Thoracic Oncology, Annals of Oncology, Translational Lung Cancer Research and Therapeutic Advances in Medical Oncology.

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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