Daniel M. Tremmel

847 total citations
18 papers, 579 citations indexed

About

Daniel M. Tremmel is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Daniel M. Tremmel has authored 18 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 6 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Daniel M. Tremmel's work include Pancreatic function and diabetes (11 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Pluripotent Stem Cells Research (2 papers). Daniel M. Tremmel is often cited by papers focused on Pancreatic function and diabetes (11 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Pluripotent Stem Cells Research (2 papers). Daniel M. Tremmel collaborates with scholars based in United States, China and Panama. Daniel M. Tremmel's co-authors include Jon S. Odorico, Sara Dutton Sackett, Lingjun Li, Fengfei Ma, Austin K. Feeney, William J. Burlingham, Matthew E. Brown, Ying Zhou, Xiang Li and Cedric S. Wesley and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Daniel M. Tremmel

17 papers receiving 573 citations

Peers

Daniel M. Tremmel

SURGE

BIOMA

GENET

Chongwen Duan United States

Renwen Zhang China

Aletta C. Schnitzler United States

Jung Hae Yoon United States

Virna Conti Italy

M. Mattioli Italy

Eltyeb Abdelwahid United States

Viviane Abreu Nunes Brazil

Guoli Yin China

Chongwen Duan United States

Daniel M. Tremmel

68 ×0.2

SURGE

108 ×0.7

BIOMA

238 ×1.6

101 ×0.7

83 ×0.7

GENET

Citations per year, relative to Daniel M. Tremmel Daniel M. Tremmel (= 1×) peers Chongwen Duan

Countries citing papers authored by Daniel M. Tremmel

Since Specialization

Citations

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

Fields of papers citing papers by Daniel M. Tremmel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Tremmel

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

All Works

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18 of 18 papers shown

Chamberlain, Connie S., et al.. (2025). Protocol for decellularizing and delipidizing human pancreatic tissue into native hydrogel. STAR Protocols. 6(3). 103997–103997.

Zhang, Yadong, Yonglin Zhu, Liyan Gong, et al.. (2024). Robust differentiation of human pluripotent stem cells into mural progenitor cells via transient activation of NKX3.1. Nature Communications. 15(1). 8392–8392. 3 indexed citations

Caspi, Inbal, Daniel M. Tremmel, Julián Pulecio, et al.. (2024). Glucose Transporters Are Key Components of the Human Glucostat. Diabetes. 73(8). 1336–1351. 6 indexed citations

Tremmel, Daniel M., et al.. (2023). Validating expression of beta cell maturation-associated genes in human pancreas development. Frontiers in Cell and Developmental Biology. 11. 1103719–1103719. 8 indexed citations

Tremmel, Daniel M., Sara Dutton Sackett, Austin K. Feeney, et al.. (2022). A human pancreatic ECM hydrogel optimized for 3-D modeling of the islet microenvironment. Scientific Reports. 12(1). 7188–7188. 28 indexed citations

Li, Zihui, Daniel M. Tremmel, Fengfei Ma, et al.. (2021). Proteome-wide and matrisome-specific alterations during human pancreas development and maturation. Nature Communications. 12(1). 1020–1020. 32 indexed citations

Tremmel, Daniel M., et al.. (2021). Analysis of pancreatic extracellular matrix protein post-translational modifications via electrostatic repulsion-hydrophilic interaction chromatography coupled with mass spectrometry. Molecular Omics. 17(5). 652–664. 6 indexed citations

Tremmel, Daniel M., Austin K. Feeney, Peter J. Chlebeck, et al.. (2019). Hypertension, but not body mass index, is predictive of increased pancreatic lipid content and islet dysfunction. American Journal of Transplantation. 20(4). 1105–1115. 12 indexed citations

Tremmel, Daniel M., et al.. (2019). Mimicking nature-made beta cells: recent advances towards stem cell-derived islets. Current Opinion in Organ Transplantation. 24(5). 574–581. 26 indexed citations

10.

Ma, Fengfei, Daniel M. Tremmel, Zihui Li, et al.. (2019). In Depth Quantification of Extracellular Matrix Proteins from Human Pancreas. Journal of Proteome Research. 18(8). 3156–3165. 32 indexed citations

11.

Tremmel, Daniel M. & Jon S. Odorico. (2018). Rebuilding a better home for transplanted islets. Organogenesis. 14(4). 163–168. 21 indexed citations

12.

Sackett, Sara Dutton, Daniel M. Tremmel, Fengfei Ma, et al.. (2018). Extracellular matrix scaffold and hydrogel derived from decellularized and delipidized human pancreas. Scientific Reports. 8(1). 10452–10452. 207 indexed citations

13.

Ma, Fengfei, Rui-Xiang Sun, Daniel M. Tremmel, et al.. (2018). Large-Scale Differentiation and Site Specific Discrimination of Hydroxyproline Isomers by Electron Transfer/Higher-Energy Collision Dissociation (EThcD) Mass Spectrometry. Analytical Chemistry. 90(9). 5857–5864. 15 indexed citations

14.

Sackett, Sara Dutton, Matthew E. Brown, Daniel M. Tremmel, et al.. (2016). Modulation of human allogeneic and syngeneic pluripotent stem cells and immunological implications for transplantation. Transplantation Reviews. 30(2). 61–70. 20 indexed citations

15.

Aylward, Frank O., Lily Khadempour, Daniel M. Tremmel, et al.. (2015). Enrichment and Broad Representation of Plant Biomass-Degrading Enzymes in the Specialized Hyphal Swellings of Leucoagaricus gongylophorus, the Fungal Symbiont of Leaf-Cutter Ants. PLoS ONE. 10(8). e0134752–e0134752. 24 indexed citations

16.

Zhang, Jian, Christopher Little, Daniel M. Tremmel, Jerry C. P. Yin, & Cedric S. Wesley. (2013). Notch-Inducible Hyperphosphorylated CREB and Its Ultradian Oscillation in Long-Term Memory Formation. Journal of Neuroscience. 33(31). 12825–12834. 36 indexed citations

17.

Tremmel, Daniel M., et al.. (2013). Notch and PKC Are Involved in Formation of the Lateral Region of the Dorso-Ventral Axis in Drosophila Embryos. PLoS ONE. 8(7). e67789–e67789. 15 indexed citations

18.

Aylward, Frank O., Kristin Burnum-Johnson, Susannah G. Tringe, et al.. (2013). Leucoagaricus gongylophorus Produces Diverse Enzymes for the Degradation of Recalcitrant Plant Polymers in Leaf-Cutter Ant Fungus Gardens. Applied and Environmental Microbiology. 79(12). 3770–3778. 88 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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