John Kauwe

13.1k total citations
53 papers, 1.7k citations indexed

About

John Kauwe is a scholar working on Physiology, Molecular Biology and Rheumatology. According to data from OpenAlex, John Kauwe has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Physiology, 20 papers in Molecular Biology and 13 papers in Rheumatology. Recurrent topics in John Kauwe's work include Alzheimer's disease research and treatments (26 papers), Folate and B Vitamins Research (11 papers) and Genetic Associations and Epidemiology (9 papers). John Kauwe is often cited by papers focused on Alzheimer's disease research and treatments (26 papers), Folate and B Vitamins Research (11 papers) and Genetic Associations and Epidemiology (9 papers). John Kauwe collaborates with scholars based in United States, United Kingdom and Italy. John Kauwe's co-authors include Perry G. Ridge, Shubhabrata Mukherjee, Paul K. Crane, Alison Goate, John C. Morris, Carlos Cruchaga, Kevin H. Mayo, David M. Holtzman, Mark Ebbert and Anne M. Fagan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Neurology.

In The Last Decade

John Kauwe

53 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Kauwe United States 24 834 659 359 313 289 53 1.7k
Eloy Rodríguez‐Rodríguez Spain 27 670 0.8× 700 1.1× 138 0.4× 247 0.8× 290 1.0× 99 1.9k
Raffaele Maletta Italy 18 564 0.7× 589 0.9× 133 0.4× 274 0.9× 138 0.5× 53 1.3k
Vijay K. Ramanan United States 20 694 0.8× 574 0.9× 284 0.8× 179 0.6× 475 1.6× 62 1.5k
Rodney T. Perry United States 15 903 1.1× 612 0.9× 270 0.8× 101 0.3× 222 0.8× 28 1.6k
Yuan Lü United States 21 682 0.8× 685 1.0× 111 0.3× 248 0.8× 180 0.6× 93 2.0k
Adam C. Naj United States 22 502 0.6× 741 1.1× 541 1.5× 119 0.4× 119 0.4× 68 1.5k
Shea J. Andrews United States 21 567 0.7× 892 1.4× 331 0.9× 95 0.3× 298 1.0× 47 1.9k
Michelle K. Lupton Australia 19 450 0.5× 536 0.8× 118 0.3× 125 0.4× 154 0.5× 34 1.1k
Laura Ghezzi Italy 22 727 0.9× 697 1.1× 87 0.2× 276 0.9× 171 0.6× 57 1.9k
F. Coria Spain 25 852 1.0× 625 0.9× 115 0.3× 579 1.8× 347 1.2× 61 1.8k

Countries citing papers authored by John Kauwe

Since Specialization
Citations

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

Fields of papers citing papers by John Kauwe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Kauwe

This figure shows the co-authorship network connecting the top 25 collaborators of John Kauwe. A scholar is included among the top collaborators of John Kauwe 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 John Kauwe. John Kauwe 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.
Wright, Sage M., Brian J. Davis, JoAnn T. Tschanz, et al.. (2019). Association study of rs3846662 with Alzheimer's disease in a population-based cohort: the Cache County Study. Neurobiology of Aging. 84. 242.e1–242.e6. 5 indexed citations
2.
Barnes, Justin M., et al.. (2017). Discovery and Confirmation of Diagnostic Serum Lipid Biomarkers for Alzheimer’s Disease Using Direct Infusion Mass Spectrometry. Journal of Alzheimer s Disease. 59(1). 277–290. 23 indexed citations
3.
Haddick, Patrick C. G., Jessica L. Larson, Nisha Rathore, et al.. (2017). A Common Variant of IL-6R is Associated with Elevated IL-6 Pathway Activity in Alzheimer’s Disease Brains. Journal of Alzheimer s Disease. 56(3). 1037–1054. 41 indexed citations
4.
Mez, Jesse, Shubhabrata Mukherjee, Timothy A. Thornton, et al.. (2016). The executive prominent/memory prominent spectrum in Alzheimer's disease is highly heritable. Neurobiology of Aging. 41. 115–121. 8 indexed citations
5.
Ebbert, Mark, Maria C. Norton, JoAnn T. Tschanz, et al.. (2016). Presenilin E318G variant and Alzheimer’s disease risk: the Cache County study. BMC Genomics. 17(S3). 438–438. 10 indexed citations
6.
Staley, Lyndsay A., Mark Ebbert, Matthew H. Bailey, et al.. (2016). Genome-wide association study of prolactin levels in blood plasma and cerebrospinal fluid. BMC Genomics. 17(S3). 436–436. 2 indexed citations
7.
Ebbert, Mark, Kevin L. Boehme, Mark E. Wadsworth, et al.. (2015). Interaction between variants in CLU and MS4A4E modulates Alzheimer's disease risk. Alzheimer s & Dementia. 12(2). 121–129. 17 indexed citations
8.
Mukherjee, Shubhabrata, Stefan Walter, John Kauwe, et al.. (2015). Genetically predicted body mass index and Alzheimer's disease–related phenotypes in three large samples: Mendelian randomization analyses. Alzheimer s & Dementia. 11(12). 1439–1451. 43 indexed citations
9.
Deming, Yuetiva, Jian Xia, Yefei Cai, et al.. (2015). A potential endophenotype for Alzheimer's disease: cerebrospinal fluid clusterin. Neurobiology of Aging. 37. 208.e1–208.e9. 48 indexed citations
10.
Østergaard, Søren Dinesen, Shubhabrata Mukherjee, Stephen J. Sharp, et al.. (2015). Associations between Potentially Modifiable Risk Factors and Alzheimer Disease: A Mendelian Randomization Study. PLoS Medicine. 12(6). e1001841–e1001841. 138 indexed citations
11.
Gross, Alden L., Richard Sherva, Shubhabrata Mukherjee, et al.. (2014). Calibrating Longitudinal Cognition in Alzheimer's Disease Across Diverse Test Batteries and Datasets. Neuroepidemiology. 43(3-4). 194–205. 43 indexed citations
12.
Peterson, Michael R., Mark Ebbert, Perry G. Ridge, et al.. (2014). Population-based analysis of cholesteryl ester transfer protein identifies association between I405V and cognitive decline: the Cache County Study. Neurobiology of Aging. 36(1). 547.e1–547.e3. 9 indexed citations
13.
Peterson, David B., Chris Corcoran, Carlos Cruchaga, et al.. (2013). Variants in PPP3R1 and MAPT are associated with more rapid functional decline in Alzheimer's disease: The Cache County Dementia Progression Study. Alzheimer s & Dementia. 10(3). 366–371. 28 indexed citations
14.
Ridge, Perry G., Taylor J. Maxwell, Christopher Corcoran, et al.. (2012). Mitochondrial Genomic Analysis of Late Onset Alzheimer’s Disease Reveals Protective Haplogroups H6A1A/H6A1B: The Cache County Study on Memory in Aging. PLoS ONE. 7(9). e45134–e45134. 44 indexed citations
15.
Kauwe, John, Carlos Cruchaga, Celeste M. Karch, et al.. (2011). Fine Mapping of Genetic Variants in BIN1, CLU, CR1 and PICALM for Association with Cerebrospinal Fluid Biomarkers for Alzheimer's Disease. PLoS ONE. 6(2). e15918–e15918. 45 indexed citations
16.
Kauwe, John, Carlos Cruchaga, Sarah Bertelsen, et al.. (2010). Validating Predicted Biological Effects of Alzheimer's Disease Associated SNPs Using CSF Biomarker Levels. Journal of Alzheimer s Disease. 21(3). 833–842. 33 indexed citations
17.
Kauwe, John, Jun Wang, Kevin H. Mayo, et al.. (2008). Alzheimer’s disease risk variants show association with cerebrospinal fluid amyloid beta. Neurogenetics. 10(1). 13–17. 62 indexed citations
18.
Hu, Yan, Ava Hosseini, John Kauwe, et al.. (2007). Identification and validation of novel CSF biomarkers for early stages of Alzheimer's disease. PROTEOMICS - CLINICAL APPLICATIONS. 1(11). 1373–1384. 54 indexed citations
19.
Nowotny, Petra, Sarah Bertelsen, Anthony L. Hinrichs, et al.. (2007). Association studies between common variants in prolyl isomerase Pin1 and the risk for late-onset Alzheimer's disease. Neuroscience Letters. 419(1). 15–17. 23 indexed citations
20.
Hinrichs, Anthony L., Sarah Bertelsen, Laura J. Bierut, et al.. (2005). Multipoint identity-by-descent computations for single-point polymorphism and microsatellite maps. BMC Genetics. 6(S1). S34–S34. 8 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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