Nathan E. Hudson

803 total citations
24 papers, 582 citations indexed

About

Nathan E. Hudson is a scholar working on Pulmonary and Respiratory Medicine, Hematology and Physiology. According to data from OpenAlex, Nathan E. Hudson has authored 24 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 8 papers in Hematology and 5 papers in Physiology. Recurrent topics in Nathan E. Hudson's work include Blood properties and coagulation (20 papers), Platelet Disorders and Treatments (7 papers) and Erythrocyte Function and Pathophysiology (4 papers). Nathan E. Hudson is often cited by papers focused on Blood properties and coagulation (20 papers), Platelet Disorders and Treatments (7 papers) and Erythrocyte Function and Pathophysiology (4 papers). Nathan E. Hudson collaborates with scholars based in United States, Germany and Singapore. Nathan E. Hudson's co-authors include Timothy A. Springer, Chafen Lu, Xianchi Dong, Michael R. Falvo, Richard Superfine, Susan T. Lord, E. Timothy O’Brien, John R. Houser, Valerie Tutwiler and Russell M. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Nathan E. Hudson

22 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan E. Hudson United States 13 300 178 113 107 66 24 582
Zhe Yang United States 14 360 1.2× 133 0.7× 206 1.8× 41 0.4× 127 1.9× 31 728
Makogonenko Em United States 12 166 0.6× 157 0.9× 93 0.8× 45 0.4× 45 0.7× 29 422
C. Nagaswami United States 7 447 1.5× 388 2.2× 182 1.6× 310 2.9× 85 1.3× 7 899
Zhangbiao Long China 10 60 0.2× 249 1.4× 106 0.9× 69 0.6× 39 0.6× 37 535
Christine Choqueux France 14 148 0.5× 62 0.3× 207 1.8× 34 0.3× 19 0.3× 26 791
Dmitry V. Sakharov Netherlands 7 202 0.7× 252 1.4× 87 0.8× 14 0.1× 47 0.7× 9 553
Simon Giuliano Australia 7 188 0.6× 466 2.6× 62 0.5× 114 1.1× 16 0.2× 7 614
F R Agbanyo Canada 9 68 0.2× 129 0.7× 75 0.7× 122 1.1× 23 0.3× 12 340
Kandace Gollomp United States 12 70 0.2× 118 0.7× 184 1.6× 33 0.3× 33 0.5× 35 564
Inge L. Schadee–Eestermans Netherlands 15 69 0.2× 49 0.3× 163 1.4× 51 0.5× 41 0.6× 20 813

Countries citing papers authored by Nathan E. Hudson

Since Specialization
Citations

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

Fields of papers citing papers by Nathan E. Hudson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan E. Hudson. 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 Nathan E. Hudson. The network helps show where Nathan E. Hudson may publish in the future.

Co-authorship network of co-authors of Nathan E. Hudson

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

All Works

20 of 20 papers shown
1.
2.
Weisel, John W., et al.. (2024). Comprehensive Analysis of the Role of Fibrinogen and Thrombin in Clot Formation and Structure for Plasma and Purified Fibrinogen. Biomolecules. 14(2). 230–230. 21 indexed citations
3.
Şen, Mehmet, et al.. (2024). Deconstructing fibrin(ogen) structure. Journal of Thrombosis and Haemostasis. 23(2). 368–380. 4 indexed citations
4.
Ouedraogo, R., et al.. (2024). A mathematical model of plasmin-mediated fibrinolysis of single fibrin fibers. PLoS Computational Biology. 20(12). e1012684–e1012684.
5.
Hudson, Nathan E., et al.. (2023). Fluorescent microspheres can affect in vitro fibrinolytic outcomes. PLoS ONE. 18(4). e0284163–e0284163. 3 indexed citations
6.
Guthold, Martin, et al.. (2023). What is the diameter of a fibrin fiber?. Research and Practice in Thrombosis and Haemostasis. 7(5). 100285–100285. 14 indexed citations
7.
Hudson, Nathan E., et al.. (2023). Fibrinolysis: an illustrated review. Research and Practice in Thrombosis and Haemostasis. 7(2). 100081–100081. 34 indexed citations
8.
Hudson, Nathan E., et al.. (2022). Microscale structural changes of individual fibrin fibers during fibrinolysis. Acta Biomaterialia. 141. 114–122. 12 indexed citations
9.
Bonazza, Klaus, Roxana E. Iacob, Nathan E. Hudson, et al.. (2022). Von Willebrand factor A1 domain stability and affinity for GPIbα are differentially regulated by its O-glycosylated N- and C-linker. eLife. 11. 8 indexed citations
10.
Hudson, Nathan E., et al.. (2021). The utility and potential of mathematical models in predicting fibrinolytic outcomes. Current Opinion in Biomedical Engineering. 20. 100337–100337. 4 indexed citations
11.
Hudson, Nathan E., et al.. (2020). Inherent fibrin fiber tension propels mechanisms of network clearance during fibrinolysis. Acta Biomaterialia. 107. 164–177. 22 indexed citations
12.
Popovic, Bojana, Sara Carmen, Ian Strickland, et al.. (2017). Engineering the expression of an anti-interleukin-13 antibody through rational design and mutagenesis. Protein Engineering Design and Selection. 30(4). 303–311. 9 indexed citations
13.
Lin, Fu‐Yang, Jianghai Zhu, Edward T. Eng, Nathan E. Hudson, & Timothy A. Springer. (2015). β-Subunit Binding Is Sufficient for Ligands to Open the Integrin αIIbβ3 Headpiece. Journal of Biological Chemistry. 291(9). 4537–4546. 22 indexed citations
14.
O’Brien, E. Tim, et al.. (2015). Physical Determinants of Fibrinolysis in Single Fibrin Fibers. PLoS ONE. 10(2). e0116350–e0116350. 43 indexed citations
15.
Kim, Jongseong, Nathan E. Hudson, & Timothy A. Springer. (2015). Force-induced on-rate switching and modulation by mutations in gain-of-function von Willebrand diseases. Proceedings of the National Academy of Sciences. 112(15). 4648–4653. 27 indexed citations
16.
Hudson, Nathan E., et al.. (2014). Determinants of Fibrinolysis in Single Fibrin Fibers. Biophysical Journal. 106(2). 253a–253a. 1 indexed citations
17.
Dong, Xianchi, Nathan E. Hudson, Chafen Lu, & Timothy A. Springer. (2014). Structural determinants of integrin β-subunit specificity for latent TGF-β. Nature Structural & Molecular Biology. 21(12). 1091–1096. 114 indexed citations
18.
Hudson, Nathan E., Feng Ding, E. Timothy O’Brien, et al.. (2013). Submillisecond Elastic Recoil Reveals Molecular Origins of Fibrin Fiber Mechanics. Biophysical Journal. 104(12). 2671–2680. 32 indexed citations
19.
Hudson, Nathan E., John R. Houser, E. Timothy O’Brien, et al.. (2010). Stiffening of Individual Fibrin Fibers Equitably Distributes Strain and Strengthens Networks. Biophysical Journal. 98(8). 1632–1640. 69 indexed citations
20.
Houser, John R., Nathan E. Hudson, Lifang Ping, et al.. (2010). Evidence that αC Region Is Origin of Low Modulus, High Extensibility, and Strain Stiffening in Fibrin Fibers. Biophysical Journal. 99(9). 3038–3047. 62 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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