Tim Grob
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- Barrier Structure and Function Studies
Papers in
- Hematology 21
- Acute Myeloid Leukemia Research 20
- Hematopoietic Stem Cell Transplantation 1
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- Cell Adhesion Molecules Research 1
- Co-authors
- Peter J.M. Valk (16 shared papers)Bob Löwenberg (12 shared papers)Gert Jan Ossenkoppele (9 shared papers)Mathijs Arnoud Sanders (10 shared papers)Mojca Jongen‐Lavrencic (9 shared papers)Melissa Rijken (10 shared papers)Patrycja L. Gradowska (5 shared papers)François G. Kavelaars (13 shared papers)
- Journals
- Blood (4 papers)Blood Advances (4 papers)Leukemia (3 papers)HemaSphere (2 papers)Molecular Oncology (2 papers)
- Partner nations
- NetherlandsSwitzerlandBelgium
In The Last Decade
Tim Grob
21 papers receiving 1.4k citations
Tim Grob's Hit Papers
Peers
Comparison fields: 5 of 52
- Hematology 1.2k
- Neurology 32
- Immunology and Allergy 19
- Cancer Research 42
- Oncology 37
Countries citing papers authored by Tim Grob
This map shows the geographic impact of Tim Grob'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 Tim Grob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Grob more than expected).
Fields of papers citing papers by Tim Grob
This network shows the impact of papers produced by Tim Grob. 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 Tim Grob. The network helps show where Tim Grob may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Grob, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular Minimal Residual Disease in Acute Myeloid Leukemia Hit paper breakdown → | 2018 | 656 |
| 2 | Molecular characterization of mutant TP53 acute myeloid leukemia and high-risk myelodysplastic syndrome Hit paper breakdown → | 2022 | 227 |
| 3 | 2018 | 167 | |
| 4 | 2022 | 107 | |
| 5 | 2013 | 70 | |
| 6 | 2020 | 58 | |
| 7 | 2021 | 33 | |
| 8 | 2020 | 25 | |
| 9 | 2019 | 17 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2017 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2016 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 1 |
About Tim Grob
Tim Grob is a scholar working on Hematology, Immunology and Allergy, Neurology, Molecular Biology and Nuclear Energy and Engineering, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Cell Adhesion Molecules Research (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Hematology (1.2k citations), Neurology (32 citations), Immunology and Allergy (19 citations), Cancer Research (42 citations) and Oncology (37 citations). Tim Grob has collaborated with scholars based in Netherlands, Switzerland and Belgium. Frequent co-authors include Peter J.M. Valk, Bob Löwenberg, Gert Jan Ossenkoppele, Mathijs Arnoud Sanders, Mojca Jongen‐Lavrencic, Melissa Rijken, Patrycja L. Gradowska, François G. Kavelaars, Marinus van Marwijk Kooy and Adil S. A. Al Hinai. Their work appears in journals such as Blood, Blood Advances, Leukemia, HemaSphere and Molecular 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.