Daniel J. Coleman

1.0k total citations
42 papers, 538 citations indexed

About

Daniel J. Coleman is a scholar working on Molecular Biology, Hematology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel J. Coleman has authored 42 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Hematology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel J. Coleman's work include Acute Myeloid Leukemia Research (9 papers), Protein Degradation and Inhibitors (8 papers) and Prostate Cancer Treatment and Research (6 papers). Daniel J. Coleman is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Protein Degradation and Inhibitors (8 papers) and Prostate Cancer Treatment and Research (6 papers). Daniel J. Coleman collaborates with scholars based in United States, United Kingdom and Canada. Daniel J. Coleman's co-authors include Arup K. Indra, Gitali Ganguli‐Indra, John J. Naleway, Robin C. May, Laura M. Machesky, David A. Elliott, Douglas P. Clark, Michael A. Lane, Stephen Hyter and Joshi J. Alumkal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Cancer Research.

In The Last Decade

Daniel J. Coleman

37 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Coleman United States 14 260 79 76 72 62 42 538
Gen Takahashi Japan 14 270 1.0× 59 0.7× 47 0.6× 23 0.3× 17 0.3× 36 855
Marianne Laporte Belgium 8 213 0.8× 54 0.7× 16 0.2× 188 2.6× 14 0.2× 17 657
Aswin Hari Canada 9 337 1.3× 36 0.5× 22 0.3× 42 0.6× 16 0.3× 9 735
Kristina Orešić United States 7 294 1.1× 123 1.6× 19 0.3× 9 0.1× 32 0.5× 7 516
Yinghua Lan China 11 112 0.4× 67 0.8× 17 0.2× 62 0.9× 9 0.1× 36 374
Himanshu Malhotra India 12 304 1.2× 34 0.4× 19 0.3× 5 0.1× 15 0.2× 24 526
I.B. Kingston United Kingdom 11 280 1.1× 46 0.6× 38 0.5× 5 0.1× 21 0.3× 16 533
Guojie Li United States 7 266 1.0× 57 0.7× 14 0.2× 13 0.2× 9 0.1× 16 683
Carol A. Wu United States 15 235 0.9× 19 0.2× 82 1.1× 9 0.1× 18 0.3× 17 679
Yuhong Zhou United States 10 442 1.7× 29 0.4× 42 0.6× 8 0.1× 15 0.2× 14 766

Countries citing papers authored by Daniel J. Coleman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Coleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Coleman. 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 J. Coleman. The network helps show where Daniel J. Coleman may publish in the future.

Co-authorship network of co-authors of Daniel J. Coleman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Coleman. A scholar is included among the top collaborators of Daniel J. Coleman 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 J. Coleman. Daniel J. Coleman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Larocque, Hugo, Samuel Gyger, Marco Colangelo, et al.. (2025). Single-Photon Detectors on Arbitrary Photonic Substrates. ACS Photonics. 12(5). 2325–2330.
2.
Schuster, Andreas, Jens Lamerz, Christian Moessner, et al.. (2024). QbD Approach to Process Characterization and Quantitative Criticality Assessment of Process Parameters. Organic Process Research & Development. 28(4). 4 indexed citations
3.
Coleman, Daniel J., Joseph Estabrook, Emek Demir, et al.. (2023). Disruption of the MYC Superenhancer Complex by Dual Targeting of FLT3 and LSD1 in Acute Myeloid Leukemia. Molecular Cancer Research. 21(7). 631–647. 5 indexed citations
4.
Christen, Ian, Momchil Minkov, Sivan Trajtenberg‐Mills, et al.. (2023). Publisher Correction: A full degree-of-freedom spatiotemporal light modulator. Nature Photonics. 17(2). 208–208. 1 indexed citations
5.
Sun, Duanchen, Daniel J. Coleman, Tingting Liu, et al.. (2023). CDK9 inhibition induces epigenetic reprogramming revealing strategies to circumvent resistance in lymphoma. Molecular Cancer. 22(1). 64–64. 23 indexed citations
6.
Lamerz, Jens, et al.. (2022). An Improved Impact Ratio for Identifying Critical Process Parameters in Pharmaceutical Manufacturing Processes. PDA Journal of Pharmaceutical Science and Technology. 76(6). 497–508. 3 indexed citations
7.
Coleman, Daniel J., et al.. (2022). GoPeaks: histone modification peak calling for CUT&Tag. Genome biology. 23(1). 144–144. 25 indexed citations
8.
Braun, Theodore P., Joseph Estabrook, Cody Coblentz, et al.. (2022). Asxl1 deletion disrupts MYC and RNA polymerase II function in granulocyte progenitors. Leukemia. 37(2). 478–487.
9.
Tsuchiya, Mitsuhiro, Yiu Huen Tsang, Wesley Horton, et al.. (2022). PU.1 and MYC transcriptional network defines synergistic drug responses to KIT and LSD1 inhibition in acute myeloid leukemia. Leukemia. 36(7). 1781–1793. 8 indexed citations
10.
Coleman, Daniel J., David A. Sampson, Archana Sehrawat, et al.. (2020). Alternative splicing of LSD1+8a in neuroendocrine prostate cancer is mediated by SRRM4. Neoplasia. 22(6). 253–262. 24 indexed citations
11.
12.
Coleman, Daniel J., Lina Gao, Jacob Schwartzman, et al.. (2019). Maintenance of MYC expression promotes de novo resistance to BET bromodomain inhibition in castration-resistant prostate cancer. Scientific Reports. 9(1). 3823–3823. 31 indexed citations
13.
Coleman, Daniel J., Lina Gao, Jacob Schwartzman, et al.. (2019). BET bromodomain inhibition blocks the function of a critical AR-independent master regulator network in lethal prostate cancer. Oncogene. 38(28). 5658–5669. 21 indexed citations
14.
Kulkarni, Nikhil N, Christopher A. Adase, Ling‐juan Zhang, et al.. (2017). IL-1 Receptor–Knockout Mice Develop Epidermal Cysts and Show an Altered Innate Immune Response after Exposure to UVB Radiation. Journal of Investigative Dermatology. 137(11). 2417–2426. 19 indexed citations
15.
Serrill, Jeffrey, Xuemei Wan, Andrew M. Hau, et al.. (2015). Coibamide A, a natural lariat depsipeptide, inhibits VEGFA/VEGFR2 expression and suppresses tumor growth in glioblastoma xenografts. Investigational New Drugs. 34(1). 24–40. 45 indexed citations
16.
17.
Venkataraman, Anand, Daniel J. Coleman, Daniel J. Nevrivy, et al.. (2014). Grp1-associated scaffold protein regulates skin homeostasis after ultraviolet irradiation. Photochemical & Photobiological Sciences. 13(3). 531–540. 2 indexed citations
18.
Wang, Zhixing, et al.. (2010). RXRα Ablation in Epidermal Keratinocytes Enhances UVR-Induced DNA Damage, Apoptosis, and Proliferation of Keratinocytes and Melanocytes. Journal of Investigative Dermatology. 131(1). 177–187. 37 indexed citations
19.
Coleman, Daniel J., et al.. (2007). A long-wavelength fluorescent substrate for continuous fluorometric determination of cellulase activity: resorufin-β-d-cellobioside. Analytical Biochemistry. 371(2). 146–153. 38 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Gen Takahashi Breakdown of academic impact, for papers by Marianne Laporte Breakdown of academic impact, for papers by Aswin Hari Breakdown of academic impact, for papers by Kristina Orešić Breakdown of academic impact, for papers by Yinghua Lan Breakdown of academic impact, for papers by Himanshu Malhotra Breakdown of academic impact, for papers by I.B. Kingston Breakdown of academic impact, for papers by Guojie Li Breakdown of academic impact, for papers by Carol A. Wu Breakdown of academic impact, for papers by Yuhong Zhou
Rankless by CCL
2026