Matthew S. Hanson

1.1k total citations · 1 hit paper
16 papers, 950 citations indexed

About

Matthew S. Hanson is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Matthew S. Hanson has authored 16 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 9 papers in Genetics and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Matthew S. Hanson's work include Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (9 papers) and Diabetes Management and Research (4 papers). Matthew S. Hanson is often cited by papers focused on Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (9 papers) and Diabetes Management and Research (4 papers). Matthew S. Hanson collaborates with scholars based in United States, Germany and Australia. Matthew S. Hanson's co-authors include David Serreze, Edward H. Leiter, Leonard D. Shultz, Sara Fleming, Don S. Varnum, H.D. Chapman, Peter C. Reifsnyder, Luis A. Fernandez, Juan S. Danobeitia and Jon S. Odorico and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Matthew S. Hanson

16 papers receiving 936 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

B lymphocytes are essential for the initiation of T cell-mediated autoimmune diabetes: analysis of a new "speed congenic" stock of NOD.Ig mu null mice.

1996 502 citations David Serreze, H.D. Chapman et al. The Journal of Experimental Medicine profile →

Peers

Matthew S. Hanson

GENET

SURGE

IMMUN

EDM

Xiaoxiao Wan United States

David Liuwantara Australia

Giorgia Sisino Italy

Hitoshi Katsuta Japan

Mitsukazu Gotoh Japan

Huilian Qin Canada

Erin E. Baschal United States

Ryosuke Misawa United States

Ilkka Jaakkola Finland

Mamdouh H. Kedees United States

Xiaoxiao Wan United States

Matthew S. Hanson

546 ×0.9

GENET

406 ×0.9

SURGE

520 ×1.2

IMMUN

236 ×0.9

EDM

202 ×1.3

Citations per year, relative to Matthew S. Hanson Matthew S. Hanson (= 1×) peers Xiaoxiao Wan

Countries citing papers authored by Matthew S. Hanson

Since Specialization

Citations

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

Fields of papers citing papers by Matthew S. Hanson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Hanson. 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 Matthew S. Hanson. The network helps show where Matthew S. Hanson may publish in the future.

Co-authorship network of co-authors of Matthew S. Hanson

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

All Works

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16 of 16 papers shown

Danobeitia, Juan S., et al.. (2014). Donor Pretreatment with IL-1 Receptor Antagonist Attenuates Inflammation and Improves Functional Potency in Islets from Brain-Dead Nonhuman Primates. Cell Transplantation. 24(9). 1863–1877. 12 indexed citations

Hirsch, David M., Jon S. Odorico, Juan S. Danobeitia, et al.. (2012). Early Metabolic Markers That Anticipate Loss of Insulin Independence in Type 1 Diabetic Islet Allograft Recipients. American Journal of Transplantation. 12(5). 1275–1289. 11 indexed citations

Kaddis, John S., Matthew S. Hanson, James Cravens, et al.. (2012). Standardized Transportation of Human Islets: An Islet Cell Resource Center Study of more than 2,000 Shipments. Cell Transplantation. 22(7). 1101–1111. 18 indexed citations

MacDonald, Michael J., Melissa J. Longacre, Scott W. Stoker, et al.. (2011). Differences between Human and Rodent Pancreatic Islets. Journal of Biological Chemistry. 286(21). 18383–18396. 81 indexed citations

Danobeitia, Juan S., Jamie M. Sperger, Matthew S. Hanson, et al.. (2011). Early Activation of the Inflammatory Response in the Liver of Brain-Dead Non-Human Primates. Journal of Surgical Research. 176(2). 639–648. 23 indexed citations

Hirsch, David M., Jon S. Odorico, Matthew S. Hanson, et al.. (2010). Correction of insulin sensitivity and glucose disposal after pancreatic islet transplantation: preliminary results. Diabetes Obesity and Metabolism. 12(11). 994–1003. 19 indexed citations

Hanson, Matthew S., et al.. (2010). A Simplified Approach to Human Islet Quality Assessment. Transplantation. 89(10). 1178–1188. 34 indexed citations

Hanson, Matthew S., et al.. (2009). IL‐1β receptor blockade protects islets against pro‐inflammatory cytokine induced necrosis and apoptosis. Journal of Cellular Physiology. 220(2). 341–347. 48 indexed citations

Stanosz, G. R., et al.. (2008). First Report of Sawadaea tulasnei Powdery Mildew of Norway Maple (Acer platanoides) in Wisconsin. Plant Disease. 92(3). 485–485. 4 indexed citations

10.

Hanson, Matthew S., Anja Steffen, Juan S. Danobeitia, Barbara Ludwig, & Luis A. Fernandez. (2008). Flow Cytometric Quantification of Glucose-Stimulated β-Cell Metabolic Flux Can Reveal Impaired Islet Functional Potency. Cell Transplantation. 17(12). 1337–1347. 12 indexed citations

11.

Minn, Alexandra H., Cynthia A. Pise-Masison, Mike Radonovich, et al.. (2007). Exenatide blocks JAK1-STAT1 in pancreatic beta cells. Metabolism. 56(7). 915–918. 17 indexed citations

12.

Fernandez, Luis A., et al.. (2005). Validation of Large Particle Flow Cytometry for the Analysis and Sorting of Intact Pancreatic Islets. Transplantation. 80(6). 729–737. 27 indexed citations

13.

Roberts, Samantha, et al.. (2003). Adoptive transfer of islet antigen–autoreactive T cell clones to transgenic NOD.Eadmice induces diabetes indicating a lack of I-E mediated protection against activated effector T cells. Journal of Autoimmunity. 21(2). 139–147. 3 indexed citations

14.

Serreze, David, H.D. Chapman, Don S. Varnum, et al.. (1996). B lymphocytes are essential for the initiation of T cell-mediated autoimmune diabetes: analysis of a new "speed congenic" stock of NOD.Ig mu null mice.. The Journal of Experimental Medicine. 184(5). 2049–2053. 502 indexed citations breakdown →

15.

Hanson, Matthew S., Marina Ćetković-Cvrlje, Vijayakumar K. Ramiya, et al.. (1996). Quantitative thresholds of MHC class II I-E expressed on hemopoietically derived antigen-presenting cells in transgenic NOD/Lt mice determine level of diabetes resistance and indicate mechanism of protection. The Journal of Immunology. 157(3). 1279–1287. 90 indexed citations

16.

Serreze, David, Edward H. Leiter, Matthew S. Hanson, et al.. (1995). Emv30null NOD-scid Mice: An Improved Host for Adoptive Transfer of Autoimmune Diabetes and Growth of Human Lymphohematopoietic Cells. Diabetes. 44(12). 1392–1398. 49 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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