Daniel M. Tremmel

28 total papers · 836 total citations
18 papers, 568 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 568 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 Electrospun Nanofibers in Biomedical Applications (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 Electrospun Nanofibers in Biomedical Applications (2 papers). Daniel M. Tremmel collaborates with scholars based in United States, Panama and China. Daniel M. Tremmel's co-authors include Jon S. Odorico, Sara Dutton Sackett, Lingjun Li, Fengfei Ma, Austin K. Feeney, Matthew E. Brown, William J. Burlingham, 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 562 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel M. Tremmel 295 152 147 133 126 18 568
Kun Liu 77 0.3× 50 0.3× 178 1.2× 148 1.1× 24 0.2× 26 649
J.N. Amritha De Croos 120 0.4× 67 0.4× 175 1.2× 112 0.8× 67 0.5× 14 669
Renwen Zhang 122 0.4× 21 0.1× 287 2.0× 72 0.5× 30 0.2× 17 614
Ellen M. Keough 88 0.3× 49 0.3× 73 0.5× 22 0.2× 39 0.3× 23 506
Ysabel M. Bello 182 0.6× 192 1.3× 52 0.4× 86 0.6× 21 0.2× 17 589
Lingling Chen 56 0.2× 102 0.7× 126 0.9× 76 0.6× 31 0.2× 31 569
Chunyu Bai 219 0.7× 48 0.3× 341 2.3× 33 0.2× 95 0.8× 46 645
Virna Conti 209 0.7× 37 0.2× 130 0.9× 68 0.5× 32 0.3× 35 663
Richard P. Dutrieux 139 0.5× 86 0.6× 91 0.6× 56 0.4× 19 0.2× 14 679
Xuewen Gou 71 0.2× 152 1.0× 219 1.5× 76 0.6× 25 0.2× 12 629

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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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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