Daniel Grun

812 total citations
17 papers, 637 citations indexed

About

Daniel Grun is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Grun has authored 17 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Grun's work include Hippo pathway signaling and YAP/TAZ (5 papers), Cancer Cells and Metastasis (4 papers) and Blood properties and coagulation (3 papers). Daniel Grun is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (5 papers), Cancer Cells and Metastasis (4 papers) and Blood properties and coagulation (3 papers). Daniel Grun collaborates with scholars based in United States, Belgium and United Kingdom. Daniel Grun's co-authors include Gautam Adhikary, Richard L. Eckert, Matthew Fisher, Wen Xu, Candace L. Kerr, Jeffrey W. Keillor, Sivaprakasam Balasubramanian, David M. Kaetzel, Jennifer M. Huang and Joseph S. Friedberg and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Daniel Grun

16 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Grun United States	14	394	197	159	158	75	17	637
Cynthia López‐Haber United States	15	605 1.5×	207 1.1×	65 0.4×	171 1.1×	100 1.3×	19	824
Wei Wei Prior United States	8	644 1.6×	199 1.0×	147 0.9×	55 0.3×	91 1.2×	10	888
Peter Sicinski United States	9	457 1.2×	262 1.3×	89 0.6×	113 0.7×	112 1.5×	9	680
Aparna Shinde United States	12	393 1.0×	200 1.0×	93 0.6×	80 0.5×	195 2.6×	17	700
Mike I. Walton United Kingdom	7	630 1.6×	283 1.4×	91 0.6×	93 0.6×	118 1.6×	9	856
Rosanna Dattilo Italy	11	449 1.1×	295 1.5×	56 0.4×	322 2.0×	133 1.8×	13	800
Yung-Sheng Chang Taiwan	9	383 1.0×	111 0.6×	80 0.5×	172 1.1×	223 3.0×	10	673
Haruka Handa Japan	13	327 0.8×	179 0.9×	61 0.4×	97 0.6×	111 1.5×	22	564
Chungyoul Choe United States	13	505 1.3×	214 1.1×	89 0.6×	63 0.4×	162 2.2×	20	690
George Wai-Cheong Yip Singapore	14	265 0.7×	265 1.3×	129 0.8×	92 0.6×	189 2.5×	18	646

Countries citing papers authored by Daniel Grun

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Grun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Grun

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

All Works

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17 of 17 papers shown

Grun, Daniel, et al.. (2024). Targeting PD-L1 in solid cancer with myeloid cells expressing a CAR-like immune receptor. Frontiers in Immunology. 15. 1380065–1380065. 1 indexed citations

Adhikary, Gautam, Daniel Grun, H. Richard Alexander, et al.. (2018). Transglutaminase is a mesothelioma cancer stem cell survival protein that is required for tumor formation. Oncotarget. 9(77). 34495–34505. 36 indexed citations

Grun, Daniel, Gautam Adhikary, & Richard L. Eckert. (2018). NRP-1 interacts with GIPC1 and α6/β4-integrins to increase YAP1/∆Np63α-dependent epidermal cancer stem cell survival. Oncogene. 37(34). 4711–4722. 31 indexed citations

Grun, Daniel, Gautam Adhikary, & Richard L. Eckert. (2018). NRP‐1 interacts with GIPC1 and SYX to activate p38 MAPK signaling and cancer stem cell survival. Molecular Carcinogenesis. 58(4). 488–499. 19 indexed citations

Fisher, Matthew, et al.. (2017). Sulforaphane reduces YAP/∆Np63α signaling to reduce cancer stem cell survival and tumor formation. Oncotarget. 8(43). 73407–73418. 34 indexed citations

Kerr, Candace L., et al.. (2017). Expression of Concern: Combination cisplatin and sulforaphane treatment reduces proliferation, invasion, and tumor formation in epidermal squamous cell carcinoma. Molecular Carcinogenesis. 57(1). 3–11. 34 indexed citations

Fisher, Matthew, et al.. (2017). Sulforaphane suppresses PRMT5/MEP50 function in epidermal squamous cell carcinoma leading to reduced tumor formation. Carcinogenesis. 38(8). 827–836. 19 indexed citations

Fisher, Matthew, Daniel Grun, Gautam Adhikary, Wen Xu, & Richard L. Eckert. (2017). Inhibition of YAP function overcomes BRAF inhibitor resistance in melanoma cancer stem cells. Oncotarget. 8(66). 110257–110272. 66 indexed citations

Grun, Daniel, Gautam Adhikary, & Richard L. Eckert. (2016). VEGF-A acts via neuropilin-1 to enhance epidermal cancer stem cell survival and formation of aggressive and highly vascularized tumors. Oncogene. 35(33). 4379–4387. 63 indexed citations

10.

Michiels, Stefan, Lina Pugliano, Sophie Marguet, et al.. (2016). Progression-free survival as surrogate end point for overall survival in clinical trials of HER2-targeted agents in HER2-positive metastatic breast cancer. Annals of Oncology. 27(6). 1029–1034. 31 indexed citations

11.

Fisher, Matthew, Candace L. Kerr, Gautam Adhikary, et al.. (2016). Transglutaminase Interaction with α6/β4-Integrin Stimulates YAP1-Dependent ΔNp63α Stabilization and Leads to Enhanced Cancer Stem Cell Survival and Tumor Formation. Cancer Research. 76(24). 7265–7276. 66 indexed citations

12.

Fisher, Matthew, Gautam Adhikary, Daniel Grun, David M. Kaetzel, & Richard L. Eckert. (2015). The Ezh2 polycomb group protein drives an aggressive phenotype in melanoma cancer stem cells and is a target of diet derived sulforaphane. Molecular Carcinogenesis. 55(12). 2024–2036. 50 indexed citations

13.

Adhikary, Gautam, Daniel Grun, Sivaprakasam Balasubramanian, et al.. (2015). Survival of skin cancer stem cells requires the Ezh2 polycomb group protein. Carcinogenesis. 36(7). 800–810. 50 indexed citations

14.

Eckert, Richard L., Matthew Fisher, Daniel Grun, et al.. (2015). Transglutaminase is a tumor cell and cancer stem cell survival factor. Molecular Carcinogenesis. 54(10). 947–958. 78 indexed citations

15.

Adhikary, Gautam, et al.. (2013). Pericentrosomal Localization of the TIG3 Tumor Suppressor Requires an N-Terminal Hydrophilic Region Motif. Journal of Investigative Dermatology. 134(5). 1220–1229. 8 indexed citations

16.

Adhikary, Gautam, Daniel Grun, Candace L. Kerr, et al.. (2013). Identification of a Population of Epidermal Squamous Cell Carcinoma Cells with Enhanced Potential for Tumor Formation. PLoS ONE. 8(12). e84324–e84324. 51 indexed citations

17.

Schmidt, Christian, et al.. (2008). Simultane Cisplatin- und Bestrahlungstherapie lokal fortgeschrittener Plattenepithelkarzinome der Kopf-Hals-Region: Eine klinische Pilotstudie. DMW - Deutsche Medizinische Wochenschrift. 108(46). 1743–1745.

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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