Daniel G. Fuja

621 total citations
8 papers, 378 citations indexed

About

Daniel G. Fuja is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Daniel G. Fuja has authored 8 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Daniel G. Fuja's work include RNA Research and Splicing (2 papers), interferon and immune responses (1 paper) and Autophagy in Disease and Therapy (1 paper). Daniel G. Fuja is often cited by papers focused on RNA Research and Splicing (2 papers), interferon and immune responses (1 paper) and Autophagy in Disease and Therapy (1 paper). Daniel G. Fuja collaborates with scholars based in United States. Daniel G. Fuja's co-authors include Emmanuelle di Tomaso, James Tyrrell, Rakesh K. Jain, Badrinath Roysam, Ricky T. Tong, Kevin R. Kozak, Lance L. Munn, Walid S. Kamoun, James J. Logie and Nyall R. London and has published in prestigious journals such as PLoS ONE, Oncogene and British Journal of Cancer.

In The Last Decade

Daniel G. Fuja

8 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel G. Fuja United States	8	207	156	101	58	46	8	378
Bartłomiej Grala Poland	13	147 0.7×	72 0.5×	81 0.8×	35 0.6×	145 3.2×	31	527
Chuandong Cheng China	13	372 1.8×	228 1.5×	58 0.6×	45 0.8×	95 2.1×	23	604
Diana Montezuma Portugal	15	249 1.2×	125 0.8×	102 1.0×	30 0.5×	121 2.6×	31	582
Qitao Huang China	11	172 0.8×	152 1.0×	112 1.1×	107 1.8×	167 3.6×	25	613
Wojciech Kozłowski Poland	15	224 1.1×	88 0.6×	185 1.8×	43 0.7×	219 4.8×	41	673
Xiaorong Wu China	12	426 2.1×	88 0.6×	111 1.1×	11 0.2×	33 0.7×	47	616
Martin Simonsson Sweden	10	168 0.8×	87 0.6×	63 0.6×	14 0.2×	69 1.5×	17	368
K.J. Niermann United States	9	143 0.7×	57 0.4×	96 1.0×	48 0.8×	106 2.3×	15	460
Maria Athelogou Germany	10	205 1.0×	198 1.3×	117 1.2×	39 0.7×	433 9.4×	17	609
Michel E. Vandenberghe United Kingdom	9	90 0.4×	71 0.5×	51 0.5×	56 1.0×	117 2.5×	19	393

Countries citing papers authored by Daniel G. Fuja

Since Specialization

Citations

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

Fields of papers citing papers by Daniel G. Fuja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. Fuja

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

All Works

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8 of 8 papers shown

1.

Ferreira, Maria Carolina, Daniel G. Fuja, Alexandre Rosa Campos, et al.. (2022). ISCA2 inhibition decreases HIF and induces ferroptosis in clear cell renal carcinoma. Oncogene. 41(42). 4709–4723. 46 indexed citations

2.

Fuja, Daniel G., et al.. (2019). Hypoxia-Associated Factor (HAF) Mediates Neurofibromin Ubiquitination and Degradation Leading to Ras–ERK Pathway Activation in Hypoxia. Molecular Cancer Research. 17(5). 1220–1232. 19 indexed citations

3.

Fuja, Daniel G., Nino Rainusso, Ryan L. Shuck, et al.. (2018). Transglutaminase-2 promotes metastatic and stem-like phenotypes in osteosarcoma.. PubMed. 8(9). 1752–1763. 12 indexed citations

4.

Roos, Alison, Shuying Zhao, Daniel G. Fuja, et al.. (2015). Loss of Runx2 sensitises osteosarcoma to chemotherapy-induced apoptosis. British Journal of Cancer. 113(9). 1289–1297. 24 indexed citations

5.

Allen‐Rhoades, Wendy, Lyazat Kurenbekova, Neha Parikh, et al.. (2015). Cross‐species identification of a plasma microRNA signature for detection, therapeutic monitoring, and prognosis in osteosarcoma. Cancer Medicine. 4(7). 977–988. 65 indexed citations

6.

Rao, Pulivarthi H., Shuying Zhao, Alexander Yu, et al.. (2015). Coamplification of Myc/Pvt1 and homozygous deletion of Nlrp1 locus are frequent genetics changes in mouse osteosarcoma. Genes Chromosomes and Cancer. 54(12). 796–808. 16 indexed citations

7.

Tomaso, Emmanuelle di, Nyall R. London, Daniel G. Fuja, et al.. (2009). PDGF-C Induces Maturation of Blood Vessels in a Model of Glioblastoma and Attenuates the Response to Anti-VEGF Treatment. PLoS ONE. 4(4). e5123–e5123. 95 indexed citations

8.

Tyrrell, James, Emmanuelle di Tomaso, Daniel G. Fuja, et al.. (2007). Robust 3-D Modeling of Vasculature Imagery Using Superellipsoids. IEEE Transactions on Medical Imaging. 26(2). 223–237. 101 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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