Dirk Heckl
Impact in
- Aging top 1%
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
Papers in
- Hematology 19
- Acute Myeloid Leukemia Research 11
- Multiple Myeloma Research and Treatments 5
-
- Cancer-related molecular mechanisms research 5
Dirk Heckl
45 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Aging 249
- Hematology 1.2k
- Business and International Management 178
- Molecular Biology 5.6k
- Genetics 464
Countries citing papers authored by Dirk Heckl
This map shows the geographic impact of Dirk Heckl'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 Dirk Heckl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Heckl more than expected).
Fields of papers citing papers by Dirk Heckl
This network shows the impact of papers produced by Dirk Heckl. 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 Dirk Heckl. The network helps show where Dirk Heckl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dirk Heckl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 71 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 26 | |
| 10 | Refined sgRNA efficacy prediction improves large- and small-scale CRISPR–Cas9 applications Hit paper breakdown → | 2017 | 196 |
| 11 | 2017 | 15 | |
| 12 | 2016 | 195 | |
| 13 | 2016 | 13 | |
| 14 | Single-cell RNA-seq reveals changes in cell cycle and differentiation programs upon aging of hematopoietic stem cells Hit paper breakdown → | 2015 | 463 |
| 15 | 2015 | 69 | |
| 16 | Lenalidomide Causes Selective Degradation of IKZF1 and IKZF3 in Multiple Myeloma Cells Hit paper breakdown → | 2013 | 1288 |
| 17 | 2013 | 126 | |
| 18 | Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells Hit paper breakdown → | 2013 | 3656 |
| 19 | 2012 | 43 | |
| 20 | 2011 | 13 |
About Dirk Heckl
Dirk Heckl is a scholar working on Hematology, Cancer Research, Molecular Biology, Business and International Management and Genetics, having authored 48 papers that have together received 7.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (11 papers), Acute Myeloid Leukemia Research (11 papers), CRISPR and Genetic Engineering (8 papers), Protein Degradation and Inhibitors (8 papers), Virus-based gene therapy research (7 papers), Multiple Myeloma Research and Treatments (5 papers), Cancer-related molecular mechanisms research (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Aging (249 citations), Hematology (1.2k citations), Business and International Management (178 citations), Molecular Biology (5.6k citations) and Genetics (464 citations). Dirk Heckl has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Benjamin L. Ebert, Tarjei S. Mikkelsen, David E. Root, John G. Doench, Ella Hartenian, Neville E. Sanjana, Feng Zhang, Xi Shi, David Scott and Ophir Shalem. Their work appears in journals such as Blood, Leukemia, Blood Advances, Haematologica and Science.
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.