Daniel C. Link
- Hematology top 0.1%
- Acute Myeloid Leukemia Research 54
- Hematopoietic Stem Cell Transplantation 49
- Immunology top 0.2%
- Immune Response and Inflammation 39
- Immunodeficiency and Autoimmune Disorders 21
- Immunotherapy and Immune Responses 16
- Genetics top 0.2%
- Blood disorders and treatments 48
- Cancer Research top 0.5%
- Oncology top 0.5%
- Neutropenia and Cancer Infections 19
- Chemokine receptors and signaling 16
- Co-authors
- Fulu LiuAdam GreenbaumMatthew ChristopherLaura G. SchuettpelzJennifer Poursine‐LaurentRyan B. DayPriya GopalanTakashi Nagasawa
- Cited by
- HematologyImmunologyGenetics
- Partner nations
- United StatesJapanPanama
In The Last Decade
Daniel C. Link
202 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Hematology 4.9k
- Immunology 5.4k
- Genetics 2.5k
- Cancer Research 1.7k
- Oncology 3.1k
Countries citing papers authored by Daniel C. Link
This map shows the geographic impact of Daniel C. Link'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 Daniel C. Link with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Link more than expected).
Fields of papers citing papers by Daniel C. Link
This network shows the impact of papers produced by Daniel C. Link. 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 Daniel C. Link. The network helps show where Daniel C. Link may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel C. Link, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 29 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 24 | |
| 10 | 2021 | 37 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 34 | |
| 13 | 2017 | 1 | |
| 14 | 2011 | 243 | |
| 15 | 2010 | 9 | |
| 16 | 2009 | 64 | |
| 17 | 2009 | 172 | |
| 18 | 2009 | 108 | |
| 19 | 2008 | 97 | |
| 20 | 2008 | 234 |
About Daniel C. Link
Daniel C. Link is a scholar working on Hematology, Immunology, Oncology, Cancer Research and Genetics, having authored 209 papers that have together received 13.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (54 papers), Hematopoietic Stem Cell Transplantation (49 papers), Blood disorders and treatments (48 papers), Immune Response and Inflammation (39 papers), Immunodeficiency and Autoimmune Disorders (21 papers), Neutropenia and Cancer Infections (19 papers), Immunotherapy and Immune Responses (16 papers) and Chemokine receptors and signaling (16 papers). The work is most often cited by research in Hematology (4.9k citations), Immunology (5.4k citations), Genetics (2.5k citations), Cancer Research (1.7k citations) and Oncology (3.1k citations). Daniel C. Link has collaborated with scholars based in United States, Japan and Panama. Frequent co-authors include Fulu Liu, Adam Greenbaum, Matthew Christopher, Laura G. Schuettpelz, Jennifer Poursine‐Laurent, Ryan B. Day, Priya Gopalan, Takashi Nagasawa, John F. DiPersio and Joshua N. Borgerding. Their work appears in journals such as Blood, Journal of Clinical Investigation, Leukemia, Current Opinion in Hematology and Journal of Leukocyte Biology.
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.