Daniel J. Toft

1.4k total citations
22 papers, 1.0k citations indexed

About

Daniel J. Toft is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Biomaterials. According to data from OpenAlex, Daniel J. Toft has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Biomaterials. Recurrent topics in Daniel J. Toft's work include RNA Interference and Gene Delivery (5 papers), Supramolecular Self-Assembly in Materials (5 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Daniel J. Toft is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Supramolecular Self-Assembly in Materials (5 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Daniel J. Toft collaborates with scholars based in United States, Australia and Italy. Daniel J. Toft's co-authors include Vincent L. Cryns, Samuel I. Stupp, Tyson J. Moyer, Stephany M. Standley, Stephen Soukasene, Daniel I. H. Linzer, Feng Chen, Joel A. Finbloom, Hyung‐Kun Lee and Vimla Band and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Nano.

In The Last Decade

Daniel J. Toft

19 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Toft United States	13	628	572	235	118	116	22	1.0k
Jinhe Pan Canada	19	387 0.6×	184 0.3×	235 1.0×	109 0.9×	286 2.5×	37	1.2k
Dirk Finsinger Germany	12	645 1.0×	185 0.3×	209 0.9×	228 1.9×	154 1.3×	17	1.2k
James L. LaBelle United States	15	607 1.0×	222 0.4×	128 0.5×	70 0.6×	208 1.8×	47	1.0k
Vladimir G. Omelyanenko United States	13	709 1.1×	466 0.8×	122 0.5×	199 1.7×	120 1.0×	21	1.2k
Kanya Rajangam United States	11	500 0.8×	458 0.8×	180 0.8×	98 0.8×	252 2.2×	23	1.0k
Ran Lin United States	17	650 1.0×	795 1.4×	291 1.2×	326 2.8×	77 0.7×	21	1.1k
Regine Peschka‐Süss Germany	15	869 1.4×	504 0.9×	191 0.8×	273 2.3×	73 0.6×	20	1.4k
David G. Leach United States	10	282 0.4×	334 0.6×	174 0.7×	258 2.2×	133 1.1×	14	877
Xishan Chen China	18	601 1.0×	266 0.5×	64 0.3×	202 1.7×	211 1.8×	32	1.0k
Rami W. Chakroun United States	12	430 0.7×	592 1.0×	178 0.8×	422 3.6×	84 0.7×	13	961

Countries citing papers authored by Daniel J. Toft

Since Specialization

Citations

This map shows the geographic impact of Daniel J. Toft'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. Toft 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. Toft more than expected).

Fields of papers citing papers by Daniel J. Toft

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Toft. A scholar is included among the top collaborators of Daniel J. Toft 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. Toft. Daniel J. Toft 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

Toft, Daniel J.. (2022). Abstract #1177032: A Rare Presentation of Hypoglycemia After Pancreas-Kidney Transplant. Endocrine Practice. 28(5). S30–S30.

Toft, Daniel J.. (2021). A Third of >1000 Patients Treated for Hypothyroidism May Not Require Thyroid Hormone Therapy. Clinical Thyroidology. 33(1). 14–16. 1 indexed citations

Toft, Daniel J.. (2020). A Change in Levothyroxine Manufacturer Frequently Results in Abnormal Serum Thyroid Function Tests. Clinical Thyroidology. 32(5). 211–213. 2 indexed citations

Toft, Daniel J.. (2020). Salivary Gland Damage Is Common with Postoperative I-131 Ablative Doses ≥100 mCi in Papillary Thyroid Cancer. Clinical Thyroidology. 32(8). 391–393.

Toft, Daniel J.. (2019). Radioactive Iodine Therapy for Hyperthyroidism Is Associated with Increased Solid Cancer Mortality. Clinical Thyroidology. 31(8). 326–329. 1 indexed citations

Toft, Daniel J.. (2019). Glucagon-like Peptide 1 Receptor Agonists Do Not Alter Calcitonin Levels in Humans. Clinical Thyroidology. 31(6). 253–255.

Moyer, Tyson J., Feng Chen, Daniel J. Toft, et al.. (2019). Self-Assembled Peptide Nanostructures Targeting Death Receptor 5 and Encapsulating Paclitaxel As a Multifunctional Cancer Therapy. ACS Biomaterials Science & Engineering. 5(11). 6046–6053. 24 indexed citations

Leung, Angela M., Andrew J. Bauer, Salvatore Benvenga, et al.. (2017). American Thyroid Association Scientific Statement on the Use of Potassium Iodide Ingestion in a Nuclear Emergency. Thyroid. 27(7). 865–877. 13 indexed citations

Toft, Daniel J., Miles Fuller, Matthew J. Schipma, et al.. (2016). αB-crystallin and HspB2 deficiency is protective from diet-induced glucose intolerance. Genomics Data. 9. 10–17. 4 indexed citations

10.

Moyer, Tyson J., Joel A. Finbloom, Feng Chen, et al.. (2014). pH and Amphiphilic Structure Direct Supramolecular Behavior in Biofunctional Assemblies. Journal of the American Chemical Society. 136(42). 14746–14752. 173 indexed citations

11.

Soukasene, Stephen, Daniel J. Toft, Tyson J. Moyer, et al.. (2011). Antitumor Activity of Peptide Amphiphile Nanofiber-Encapsulated Camptothecin. ACS Nano. 5(11). 9113–9121. 216 indexed citations

12.

Standley, Stephany M., Daniel J. Toft, Hao Cheng, et al.. (2010). Induction of Cancer Cell Death by Self-assembling Nanostructures Incorporating a Cytotoxic Peptide. Cancer Research. 70(8). 3020–3026. 178 indexed citations

13.

Toft, Daniel J. & Vincent L. Cryns. (2010). Minireview: Basal-Like Breast Cancer: From Molecular Profiles to Targeted Therapies. Endocrine Reviews. 31(5). 776–777. 3 indexed citations

14.

Layden, Brian T., et al.. (2009). Primary CNS lymphoma with bilateral symmetric hypothalamic lesions presenting with panhypopituitarism and diabetes insipidus. Pituitary. 14(2). 194–197. 15 indexed citations

15.

Toft, Daniel J., et al.. (2001). Reactivation of proliferin gene expression is associated with increased angiogenesis in a cell culture model of fibrosarcoma tumor progression. Proceedings of the National Academy of Sciences. 98(23). 13055–13059. 67 indexed citations

16.

Toft, Daniel J. & Daniel I. H. Linzer. (2000). Identification of Three Prolactin-Related Hormones as Markers of Invasive Trophoblasts in the Rat1. Biology of Reproduction. 63(2). 519–525. 22 indexed citations

17.

Toft, Daniel J. & Daniel I. H. Linzer. (1999). Prolactin (PRL)-Like Protein J, a Novel Member of the PRL/Growth Hormone Family, Is Exclusively Expressed in Maternal Decidua1. Endocrinology. 140(11). 5095–5101. 19 indexed citations

18.

Toft, Daniel J.. (1999). Prolactin (PRL)-Like Protein J, a Novel Member of the PRL/Growth Hormone Family, Is Exclusively Expressed in Maternal Decidua. Endocrinology. 140(11). 5095–5101. 8 indexed citations

19.

Ajtai, Katalin, Daniel J. Toft, & Thomas P. Burghardt. (1994). Path and Extent of Cross-Bridge Rotation during Muscle Contraction. Biochemistry. 33(18). 5382–5391. 14 indexed citations

20.

Ajtai, Katalin, et al.. (1992). Stereospecific reaction of muscle fiber proteins with the 5' or 6' isomer of (iodoacetamido)tetramethylrhodamine. Biochemistry. 31(49). 12431–12440. 41 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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