Daniel C. Link

34.3k total citations · 5 hit papers
209 papers, 13.3k citations indexed

About

Daniel C. Link is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, Daniel C. Link has authored 209 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Hematology, 90 papers in Immunology and 61 papers in Oncology. Recurrent topics in Daniel C. Link's work include Acute Myeloid Leukemia Research (54 papers), Hematopoietic Stem Cell Transplantation (49 papers) and Blood disorders and treatments (48 papers). Daniel C. Link is often cited by papers focused on Acute Myeloid Leukemia Research (54 papers), Hematopoietic Stem Cell Transplantation (49 papers) and Blood disorders and treatments (48 papers). Daniel C. Link collaborates with scholars based in United States, Japan and Panama. Daniel C. Link's 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 and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel C. Link

202 papers receiving 13.1k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Age-related mutations associated with clonal hematopoietic expansion and malignancies

2014 1.2k citations Christopher A. Miller, Daniel C. Link et al. profile →
CXCL12 in early mesenchymal progenitors is required for haematopoietic stem-cell maintenance

2013 1.0k citations Adam Greenbaum, Ryan B. Day et al. profile →
CXCR2 and CXCR4 antagonistically regulate neutrophil trafficking from murine bone marrow

2010 581 citations Adam Greenbaum, Daniel C. Link et al. profile →
Hypoxic Preconditioning Results in Increased Motility and Improved Therapeutic Potential of Human Mesenchymal Stem Cells

2008 560 citations Ivana Rosová, Daniel C. Link et al. profile →
A Wnt-mediated transformation of the bone marrow stromal cell identity orchestrates skeletal regeneration

2020 197 citations Daniel C. Link et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel C. Link United States	62	5.4k	4.9k	4.2k	3.1k	2.5k	209	13.3k
Dominique Bonnet United Kingdom	52	4.2k 0.8×	5.5k 1.1×	7.2k 1.7×	6.0k 1.9×	3.2k 1.3×	180	16.4k
Mineo Kurokawa Japan	57	1.8k 0.3×	5.2k 1.1×	6.0k 1.4×	2.1k 0.7×	1.8k 0.7×	455	12.8k
Roel Willemze Netherlands	59	5.4k 1.0×	7.3k 1.5×	3.4k 0.8×	3.9k 1.2×	3.3k 1.3×	288	14.3k
Atsushi Iwama Japan	64	2.5k 0.5×	3.6k 0.7×	7.6k 1.8×	2.2k 0.7×	1.2k 0.5×	251	12.1k
Thalia Papayannopoulou United States	62	3.0k 0.6×	5.8k 1.2×	6.9k 1.6×	2.2k 0.7×	4.0k 1.6×	224	14.9k
Tsvee Lapidot Israel	65	7.3k 1.4×	8.2k 1.7×	8.4k 2.0×	8.0k 2.6×	4.0k 1.6×	152	21.6k
Makio Ogawa United States	61	4.1k 0.8×	5.4k 1.1×	4.1k 1.0×	2.8k 0.9×	2.9k 1.2×	189	12.8k
Maurilio Ponzoni Italy	65	3.8k 0.7×	1.7k 0.3×	4.7k 1.1×	6.6k 2.1×	3.2k 1.3×	296	16.6k
Órit Kollet Israel	41	3.4k 0.6×	3.6k 0.7×	3.5k 0.8×	3.0k 1.0×	2.0k 0.8×	82	9.3k
Kenneth Kaushansky United States	61	2.9k 0.5×	7.6k 1.6×	3.8k 0.9×	2.3k 0.7×	3.1k 1.2×	210	12.9k

Countries citing papers authored by Daniel C. Link

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daniel C. Link

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Link. A scholar is included among the top collaborators of Daniel C. Link based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel C. Link. Daniel C. Link is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wong, Terrence N., et al.. (2025). A clinical guide to TP53 mutations in myeloid neoplasms. Blood. 146(18). 2157–2167.

Friedman, Danielle Novetsky, Chaya S. Moskowitz, Kimberly L. Turner, et al.. (2023). Clonal hematopoiesis in survivors of childhood cancer.. Journal of Clinical Oncology. 41(16_suppl). 10014–10014. 1 indexed citations

Friedman, Danielle Novetsky, Chaya S. Moskowitz, Kimberly L. Turner, et al.. (2023). Clonal hematopoiesis in survivors of childhood cancer. Blood Advances. 7(15). 4102–4106. 13 indexed citations

Oetjen, Karolyn A., Diane E. Bender, Marianna B. Ruzinova, et al.. (2023). IMC-Denoise: a content aware denoising pipeline to enhance Imaging Mass Cytometry. Nature Communications. 14(1). 1601–1601. 29 indexed citations

Abel, Haley, Karolyn A. Oetjen, Christopher A. Miller, et al.. (2023). Genomic landscape of TP53-mutated myeloid malignancies. Blood Advances. 7(16). 4586–4598. 15 indexed citations

Link, Daniel C., et al.. (2023). Idasanutlin and navitoclax induce synergistic apoptotic cell death in T-cell acute lymphoblastic leukemia. Leukemia. 37(12). 2356–2366. 12 indexed citations

Warren, Julia T., Ryan R. Cupo, David H. Spencer, et al.. (2021). Heterozygous variants of CLPB are a cause of severe congenital neutropenia. Blood. 139(5). 779–791. 24 indexed citations

Li, Shan, Sridhar Nonavinkere Srivatsan, Yuhao Chen, et al.. (2021). Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations. Cancer Research. 81(17). 4499–4513. 37 indexed citations

Trissal, Maria, Terrence N. Wong, Juo-Chin Yao, et al.. (2018). MIR142 Loss-of-Function Mutations Derepress ASH1L to Increase HOXA Gene Expression and Promote Leukemogenesis. Cancer Research. 78(13). 3510–3521. 34 indexed citations

10.

Jacoby, Meagan A., Eric J. Duncavage, Gue Su Chang, et al.. (2017). Subclonal Evolution Characterizes MDS Disease Progression Following Allogeneic Stem Cell Transplant. Blood. 130. 4232. 1 indexed citations

11.

Christopher, Matthew, Mahil Rao, Fulu Liu, Jill Woloszynek, & Daniel C. Link. (2011). Expression of the G-CSF receptor in monocytic cells is sufficient to mediate hematopoietic progenitor mobilization by G-CSF in mice. The Journal of Experimental Medicine. 208(2). 251–260. 243 indexed citations

12.

Greenbaum, Adam & Daniel C. Link. (2010). Mechanisms of G-CSF-mediated hematopoietic stem and progenitor mobilization. Leukemia. 25(2). 211–217. 162 indexed citations

13.

Rosová, Ivana, Daniel C. Link, & Jan A. Nolta. (2010). shRNA-Mediated Decreases in c-Met Levels Affect the Differentiation Potential of Human Mesenchymal Stem Cells and Reduce Their Capacity for Tissue Repair. Tissue Engineering Part A. 16(8). 2627–2639. 9 indexed citations

14.

Christopher, Matthew, Fulu Liu, Matthew J. Hilton, Fanxin Long, & Daniel C. Link. (2009). Suppression of CXCL12 production by bone marrow osteoblasts is a common and critical pathway for cytokine-induced mobilization. Blood. 114(7). 1331–1339. 172 indexed citations

15.

Shaked, Yuval, Terence Tang, Jill Woloszynek, et al.. (2009). Contribution of Granulocyte Colony-Stimulating Factor to the Acute Mobilization of Endothelial Precursor Cells by Vascular Disrupting Agents. Cancer Research. 69(19). 7524–7528. 64 indexed citations

16.

Xia, Jun, Audrey Anna Bolyard, Elin Rodger, et al.. (2009). Prevalence of mutations in ELANE, GFI1, HAX1, SBDS, WAS and G6PC3 in patients with severe congenital neutropenia. British Journal of Haematology. 147(4). 535–542. 108 indexed citations

17.

Devine, Steven M., Ravi Vij, Michael P. Rettig, et al.. (2008). Rapid mobilization of functional donor hematopoietic cells without G-CSF using AMD3100, an antagonist of the CXCR4/SDF-1 interaction. Blood. 112(4). 990–998. 234 indexed citations

18.

Christopher, Matthew & Daniel C. Link. (2008). Granulocyte Colony-Stimulating Factor Induces Osteoblast Apoptosis and Inhibits Osteoblast Differentiation. Journal of Bone and Mineral Research. 23(11). 1765–1774. 97 indexed citations

19.

Watters, James, et al.. (2003). A mouse-based strategy for cyclophosphamide pharmacogenomic discovery. Journal of Applied Physiology. 95(4). 1352–1360. 27 indexed citations

20.

Semerad, Craig L., Jennifer Poursine‐Laurent, Fulu Liu, & Daniel C. Link. (1999). A Role for G-CSF Receptor Signaling in the Regulation of Hematopoietic Cell Function but Not Lineage Commitment or Differentiation. Immunity. 11(2). 153–161. 67 indexed citations

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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