Tor Jensen

1.4k total citations
33 papers, 783 citations indexed

About

Tor Jensen is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Tor Jensen has authored 33 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Biomedical Engineering and 6 papers in Genetics. Recurrent topics in Tor Jensen's work include Tissue Engineering and Regenerative Medicine (5 papers), Muscle Physiology and Disorders (5 papers) and Mesenchymal stem cell research (5 papers). Tor Jensen is often cited by papers focused on Tissue Engineering and Regenerative Medicine (5 papers), Muscle Physiology and Disorders (5 papers) and Mesenchymal stem cell research (5 papers). Tor Jensen collaborates with scholars based in United States, Angola and Denmark. Tor Jensen's co-authors include Marni D. Boppart, Lawrence B. Schook, Tania Ray, Michael De Lisio, Heather D. Huntsman, Rashid Bashir, Dipanjan Pan, Partha Ray, Mahdieh Jadaliha and Kannanganattu V. Prasanth and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Blood.

In The Last Decade

Tor Jensen

30 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tor Jensen United States	16	395	222	157	112	96	33	783
Chaoyang Wu China	20	683 1.7×	283 1.3×	283 1.8×	141 1.3×	134 1.4×	52	1.4k
Ömer Faruk Bayrak Türkiye	19	372 0.9×	137 0.6×	229 1.5×	104 0.9×	42 0.4×	58	1.0k
Miriam Tosetto Ireland	18	363 0.9×	143 0.6×	156 1.0×	97 0.9×	86 0.9×	33	1.0k
Kyung Eun Lee South Korea	20	500 1.3×	365 1.6×	85 0.5×	77 0.7×	271 2.8×	34	1.0k
Corinne E. Camalier United States	15	756 1.9×	247 1.1×	292 1.9×	84 0.8×	114 1.2×	21	1.4k
Jung Won Yoon South Korea	18	299 0.8×	139 0.6×	65 0.4×	102 0.9×	104 1.1×	51	889
Yirun Li China	17	309 0.8×	207 0.9×	173 1.1×	67 0.6×	34 0.4×	28	728
Hui Hu China	13	502 1.3×	575 2.6×	153 1.0×	71 0.6×	138 1.4×	32	1.3k
May Zaw Thin United Kingdom	16	343 0.9×	202 0.9×	124 0.8×	74 0.7×	121 1.3×	21	797

Countries citing papers authored by Tor Jensen

Since Specialization

Citations

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

Fields of papers citing papers by Tor Jensen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tor Jensen

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

All Works

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20 of 20 papers shown

Han, Xiaoxue, Wen Ren, Rongwen Lu, et al.. (2025). Oxygenating Nanobubble Hydrogel for Accelerated Surgical Wound Closure and Restoration of Native Skin Architecture. ACS Nano. 19(48). 41044–41061.

Jensen, Tor, Rebecca L. Smith, & Joseph T. Walsh. (2025). Saliva Has High Sensitivity and Specificity for Detecting SARS-CoV-2 Compared to Nasal Swabs but Exhibits Different Viral Dynamics from Days of Symptom Onset. Diagnostics. 15(15). 1918–1918.

Zhang, Xing, et al.. (2024). PFAS assessment in fish – Samples from Illinois waters. The Science of The Total Environment. 927. 172357–172357. 8 indexed citations

Ray, Tania, et al.. (2020). Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature. Breast Cancer Research. 22(1). 74–74. 15 indexed citations

Huntsman, Heather D., Catarina Rendeiro, Michael De Lisio, et al.. (2017). The impact of mechanically stimulated muscle-derived stromal cells on aged skeletal muscle. Experimental Gerontology. 103. 35–46. 5 indexed citations

Hassan, Umer, Tanmay Ghonge, Bobby Reddy, et al.. (2017). A point-of-care microfluidic biochip for quantification of CD64 expression from whole blood for sepsis stratification. Nature Communications. 8(1). 15949–15949. 113 indexed citations

Jensen, Tor, et al.. (2016). Impact of β-hydroxy β-methylbutyrate (HMB) on age-related functional deficits in mice. Experimental Gerontology. 87(Pt A). 57–66. 14 indexed citations

Swaminathan, Mahesh, Tor Jensen, Tania Ray, et al.. (2016). FOXC1 Expression in Acute Myeloid Leukemia: Potential Predictor of Disease Relapse and/or Refractory Disease. Blood. 128(22). 5260–5260. 4 indexed citations

Huntsman, Heather D., Kai Zou, Michael De Lisio, et al.. (2016). Diet-induced obesity regulates adipose-resident stromal cell quantity and extracellular matrix gene expression. Stem Cell Research. 17(1). 181–190. 23 indexed citations

10.

Jensen, Tor, Tania Ray, Jinhua Wang, et al.. (2015). Diagnosis of Basal-Like Breast Cancer Using a FOXC1-Based Assay. JNCI Journal of the National Cancer Institute. 107(8). 46 indexed citations

11.

Misra, Santosh K., Tor Jensen, & Dipanjan Pan. (2015). Enriched inhibition of cancer and stem-like cancer cells via STAT-3 modulating niclocelles. Nanoscale. 7(16). 7127–7132. 29 indexed citations

12.

Melhem, Molly, et al.. (2015). A Hydrogel Construct and Fibrin-based Glue Approach to Deliver Therapeutics in a Murine Myocardial Infarction Model.. Journal of Visualized Experiments. 5 indexed citations

13.

Misra, Santosh K., et al.. (2015). Bi-modal cancer treatment utilizing therapeutic ultrasound and an engineered therapeutic nanobubble. RSC Advances. 5(78). 63839–63845. 3 indexed citations

14.

Zou, Kai, et al.. (2014). Mesenchymal Stem Cells Augment the Adaptive Response to Eccentric Exercise. Medicine & Science in Sports & Exercise. 47(2). 315–325. 21 indexed citations

15.

Bionaz, Massimo, et al.. (2012). 280 OSTEOGENIC ACTIVITY OF IN HOUSE-PRODUCED PORCINE BMP2 ON ADIPOSE-DERIVED STEM CELLS. Reproduction Fertility and Development. 25(1). 288–288. 2 indexed citations

16.

Rund, Laurie A., et al.. (2011). Ultrasound therapy applicators for controlled thermal modification of tissue. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7901. 79010W–79010W. 3 indexed citations

17.

Lidstone, Erich A., Vikram Chaudhery, Vincent Chan, et al.. (2011). Label-free imaging of cell attachment with photonic crystal enhanced microscopy. The Analyst. 136(18). 3608–3608. 23 indexed citations

18.

Jensen, Tor, et al.. (2010). A Cloned Pig Model for Examining Atherosclerosis Induced by High Fat, High Cholesterol Diets. Animal Biotechnology. 21(3). 179–187. 21 indexed citations

19.

Jensen, Tor, Edward J. Roy, Chaenyung Cha, et al.. (2010). Tuning the non-equilibrium state of a drug-encapsulated poly(ethylene glycol) hydrogel for stem and progenitor cell mobilization. Biomaterials. 32(7). 2004–2012. 22 indexed citations

20.

Jensen, Tor, Yong Chen, & William M. Miller. (2003). Small Increases in pH Enhance Retroviral Vector Transduction Efficiency of NIH‐3T3 Cells. Biotechnology Progress. 19(1). 216–223. 5 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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