Clive Wasserfall

17.1k total citations · 3 hit papers
217 papers, 11.7k citations indexed

About

Clive Wasserfall is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Clive Wasserfall has authored 217 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Genetics, 104 papers in Surgery and 74 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Clive Wasserfall's work include Diabetes and associated disorders (129 papers), Pancreatic function and diabetes (101 papers) and Diabetes Management and Research (71 papers). Clive Wasserfall is often cited by papers focused on Diabetes and associated disorders (129 papers), Pancreatic function and diabetes (101 papers) and Diabetes Management and Research (71 papers). Clive Wasserfall collaborates with scholars based in United States, United Kingdom and China. Clive Wasserfall's co-authors include Mark A. Atkinson, Desmond Schatz, Todd M. Brusko, Martha Campbell‐Thompson, Michael J. Haller, Michael Clare‐Salzler, Josef Neu, Eric W. Triplett, Matthias Kapturczak and Anupam Agarwal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Angewandte Chemie International Edition.

In The Last Decade

Clive Wasserfall

210 papers receiving 11.5k 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.

Toward defining the autoimmune microbiome for type 1 diabetes

2010 618 citations Adriana Giongo, George Casella et al. The ISME Journal profile →
Gut Microbiome Metagenomics Analysis Suggests a Functional Model for the Development of Autoimmunity for Type 1 Diabetes

2011 617 citations Adriana Giongo, George Casella et al. PLoS ONE profile →
Association of Diabetes Mellitus and Chronic Hepatitis C Virus Infection

1999 523 citations Clive Wasserfall et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clive Wasserfall United States	60	5.1k	3.7k	3.7k	3.0k	2.8k	217	11.7k
Flemming Pociot Denmark	61	7.2k 1.4×	5.2k 1.4×	4.6k 1.3×	3.9k 1.3×	4.5k 1.6×	326	16.2k
Toshiaki Hanafusa Japan	54	5.3k 1.0×	5.1k 1.4×	2.7k 0.7×	5.3k 1.8×	3.0k 1.1×	391	14.7k
Lorenzo Piemonti Italy	60	3.1k 0.6×	4.7k 1.3×	3.4k 0.9×	2.5k 0.8×	3.9k 1.4×	290	13.5k
Michael Clare‐Salzler United States	51	3.1k 0.6×	2.0k 0.5×	1.3k 0.4×	1.6k 0.5×	3.7k 1.3×	139	8.2k
Kevan C. Herold United States	73	10.5k 2.1×	9.1k 2.5×	2.7k 0.7×	8.6k 2.9×	6.0k 2.2×	278	20.0k
Klaus Bendtzen Denmark	69	4.4k 0.9×	3.1k 0.8×	2.8k 0.8×	1.9k 0.6×	7.1k 2.5×	477	18.2k
Jørn Nerup Denmark	64	7.8k 1.5×	6.1k 1.7×	2.5k 0.7×	5.7k 1.9×	3.6k 1.3×	256	15.0k
Karsten Buschard Denmark	46	3.3k 0.6×	3.3k 0.9×	2.2k 0.6×	2.6k 0.9×	909 0.3×	245	7.4k
Conny Gysemans Belgium	49	2.3k 0.5×	1.8k 0.5×	2.4k 0.6×	1.2k 0.4×	3.8k 1.4×	144	10.8k
Pierre Gourdy France	45	1.9k 0.4×	986 0.3×	1.9k 0.5×	1.9k 0.6×	2.4k 0.9×	190	8.1k

Countries citing papers authored by Clive Wasserfall

Since Specialization

Citations

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

Fields of papers citing papers by Clive Wasserfall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clive Wasserfall. 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 Clive Wasserfall. The network helps show where Clive Wasserfall may publish in the future.

Co-authorship network of co-authors of Clive Wasserfall

This figure shows the co-authorship network connecting the top 25 collaborators of Clive Wasserfall. A scholar is included among the top collaborators of Clive Wasserfall 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 Clive Wasserfall. Clive Wasserfall 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

Kitata, Reta Birhanu, Marija Veličković, Zhangyang Xu, et al.. (2025). Robust collection and processing for label-free single voxel proteomics. Nature Communications. 16(1). 547–547. 3 indexed citations

Scholten, David, Lamiaa El-Shennawy, Yuzhi Jia, et al.. (2025). Double-positive T cells form heterotypic clusters with circulating tumor cells to foster cancer metastasis. Journal of Clinical Investigation. 135(18). 1 indexed citations

Alleva, David G., Sylaja Murikipudi, T. Lancaster, et al.. (2024). An antigen-specific immunotherapeutic, AKS-107, deletes insulin-specific B cells and prevents murine autoimmune diabetes. Frontiers in Immunology. 15. 1367514–1367514. 6 indexed citations

Chen, Jing, Clayton E. Mathews, Clive Wasserfall, et al.. (2024). Serum from pregnant donors induces human beta cell proliferation. Islets. 16(1). 2334044–2334044. 2 indexed citations

Bacher, Rhonda, Kieran McGrail, Martha Campbell‐Thompson, et al.. (2024). Serum exocrine pancreas enzymes are biomarkers of immunotherapy response in new-onset type 1 diabetes. Frontiers in Endocrinology. 15. 1497373–1497373. 1 indexed citations

Dong, Xiaoru, Daniel J. Perry, Amanda L. Posgai, et al.. (2023). Human immune phenotyping reveals accelerated aging in type 1 diabetes. JCI Insight. 8(17). 21 indexed citations

Börner, Katy, Andreas Bueckle, Bruce W. Herr, et al.. (2022). Tissue registration and exploration user interfaces in support of a human reference atlas. Communications Biology. 5(1). 1369–1369. 7 indexed citations

Abdullah, Mohamed Ahmed, Janelle A. Noble, Mohammed Hussien, et al.. (2021). Clinical features, biochemistry, and HLA‐DRB1 status in youth‐onset type 1 diabetes in Sudan. Pediatric Diabetes. 22(5). 749–757. 12 indexed citations

Hiller, Helmut, Changjun Yang, Irina Kusmartseva, et al.. (2021). Altered cellular localisation and expression, together with unconventional protein trafficking, of prion protein, PrPC, in type 1 diabetes. Diabetologia. 64(10). 2279–2291. 6 indexed citations

10.

Hiller, Helmut, Joseph J. Lebowitz, Stefanie Engler, et al.. (2021). Monogenic Diabetes and Integrated Stress Response Genes Display Altered Gene Expression in Type 1 Diabetes. Diabetes. 70(8). 1885–1897. 7 indexed citations

11.

Nasr, Moufida Ben, Sara Tezza, Francesca D’Addio, et al.. (2017). PD-L1 genetic overexpression or pharmacological restoration in hematopoietic stem and progenitor cells reverses autoimmune diabetes. Science Translational Medicine. 9(416). 101 indexed citations

12.

Villa, Nancy, Clive Wasserfall, Amy Meacham, et al.. (2015). Myxoma virus suppresses proliferation of activated T lymphocytes yet permits oncolytic virus transfer to cancer cells. Blood. 125(24). 3778–3788. 33 indexed citations

13.

Bian, Xiaofang, Garrick Wallstrom, Jie Wang, et al.. (2015). Immunoproteomic Profiling of Antiviral Antibodies in New-Onset Type 1 Diabetes Using Protein Arrays. Diabetes. 65(1). 285–296. 57 indexed citations

14.

Roesch, Luiz Fernando Würdig, Graciela L. Lorca, George Casella, et al.. (2009). Culture-independent identification of gut bacteria correlated with the onset of diabetes in a rat model. The ISME Journal. 3(5). 536–548. 192 indexed citations

15.

Wasserfall, Clive, Matthew Parker, Kieran McGrail, et al.. (2009). Exendin-4 treatment of nonobese diabetic mice increases beta-cell proliferation and fractional insulin reactive area. Journal of Diabetes and its Complications. 24(3). 163–167. 17 indexed citations

16.

So, Po‐Wah, Yu‐Ting Kuo, Clive Wasserfall, et al.. (2007). Impact of Resistant Starch on Body Fat Patterning and Central Appetite Regulation. PLoS ONE. 2(12). e1309–e1309. 100 indexed citations

17.

Araya, Carlos E., Clive Wasserfall, Todd M. Brusko, et al.. (2006). A case of unfulfilled expectations. Cytokines in idiopathic minimal lesion nephrotic syndrome. Pediatric Nephrology. 21(5). 603–610. 78 indexed citations

18.

Brusko, Todd M., Clive Wasserfall, Anupam Agarwal, Matthias Kapturczak, & Mark A. Atkinson. (2005). An Integral Role for Heme Oxygenase-1 and Carbon Monoxide in Maintaining Peripheral Tolerance by CD4+CD25+ Regulatory T Cells. The Journal of Immunology. 174(9). 5181–5186. 104 indexed citations

19.

Serreze, David, Clive Wasserfall, Eric Ottendorfer, et al.. (2004). Diabetes Acceleration or Prevention by a Coxsackievirus B4 Infection: Critical Requirements for both Interleukin-4 and Gamma Interferon. Journal of Virology. 79(2). 1045–1052. 56 indexed citations

20.

Goudy, Kevin, Brant Burkhardt, Clive Wasserfall, et al.. (2003). Systemic Overexpression of IL-10 Induces CD4+CD25+ Cell Populations In Vivo and Ameliorates Type 1 Diabetes in Nonobese Diabetic Mice in a Dose-Dependent Fashion. The Journal of Immunology. 171(5). 2270–2278. 107 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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