Katherine A. Gifford

3.6k total citations
87 papers, 1.4k citations indexed

About

Katherine A. Gifford is a scholar working on Psychiatry and Mental health, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Katherine A. Gifford has authored 87 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Psychiatry and Mental health, 19 papers in Physiology and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Katherine A. Gifford's work include Dementia and Cognitive Impairment Research (48 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Alzheimer's disease research and treatments (13 papers). Katherine A. Gifford is often cited by papers focused on Dementia and Cognitive Impairment Research (48 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Alzheimer's disease research and treatments (13 papers). Katherine A. Gifford collaborates with scholars based in United States, Sweden and United Kingdom. Katherine A. Gifford's co-authors include Angela L. Jefferson, Timothy J. Hohman, Kimberly R. Pechman, Dandan Liu, Susan P. Bell, Dandan Liu, Elizabeth E. Moore, Zengqi Lu, L. Taylor Davis and Francis E. Cambronero and has published in prestigious journals such as Circulation, Nature Communications and PLoS ONE.

In The Last Decade

Katherine A. Gifford

79 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katherine A. Gifford United States	23	634	331	289	289	216	87	1.4k
Charlotte L. Allan United Kingdom	19	531 0.8×	252 0.8×	196 0.7×	435 1.5×	273 1.3×	46	2.1k
Atul Narkhede United States	18	569 0.9×	378 1.1×	193 0.7×	226 0.8×	274 1.3×	31	1.1k
Sara E. Berman United States	22	470 0.7×	323 1.0×	247 0.9×	164 0.6×	216 1.0×	40	1.3k
Erica Y. Griffith United States	18	501 0.8×	336 1.0×	168 0.6×	319 1.1×	217 1.0×	26	1.1k
Jordan Muraskin United States	21	638 1.0×	348 1.1×	250 0.9×	537 1.9×	480 2.2×	33	1.7k
Elizabeth C. Leritz United States	23	391 0.6×	215 0.6×	195 0.7×	471 1.6×	444 2.1×	42	1.4k
Jennifer M. Oh United States	26	728 1.1×	783 2.4×	178 0.6×	407 1.4×	437 2.0×	59	2.1k
Ying-Qi Xu China	14	667 1.1×	448 1.4×	111 0.4×	411 1.4×	204 0.9×	39	1.5k
Catherine L. Gallagher United States	26	610 1.0×	623 1.9×	157 0.5×	406 1.4×	415 1.9×	74	1.9k
Marije R. Benedictus Netherlands	21	616 1.0×	450 1.4×	115 0.4×	361 1.2×	461 2.1×	27	1.5k

Countries citing papers authored by Katherine A. Gifford

Since Specialization

Citations

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

Fields of papers citing papers by Katherine A. Gifford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine A. Gifford. 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 Katherine A. Gifford. The network helps show where Katherine A. Gifford may publish in the future.

Co-authorship network of co-authors of Katherine A. Gifford

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

Gogniat, Marissa A., Panpan Zhang, Dandan Liu, et al.. (2025). Cross-Sectional and Longitudinal Associations of Neighborhood Disadvantage With Fluid Biomarkers of Neuroinflammation and Neurodegeneration. Neurology. 105(2). e213770–e213770.

Gifford, Katherine A., Zachary Y. Kerr, Wesley R. Cole, et al.. (2025). Intraindividual variability, subjective cognitive difficulties, and head injury history in former collegiate athletes. The Clinical Neuropsychologist. 39(8). 2274–2294.

Ding, Huitong, Cody Karjadi, Preeti Sunderaraman, et al.. (2025). Association of the digital clock drawing test with amyloid and tau PET biomarkers in low age risk adults. Scientific Reports. 15(1). 11104–11104. 2 indexed citations

Seto, Mabel, Manuel J. Gómez, Gillian Coughlan, et al.. (2025). Sex-specific associations of gene expression with Alzheimer’s disease neuropathology and ante-mortem cognitive performance. Nature Communications. 16(1). 9466–9466.

Gogniat, Marissa A., Judy Li, Chorong Park, et al.. (2025). Increased sedentary behavior is associated with neurodegeneration and worse cognition in older adults over a 7‐year period despite high levels of physical activity. Alzheimer s & Dementia. 21(5). e70157–e70157. 1 indexed citations

Gogniat, Marissa A., Dandan Liu, Kimberly R. Pechman, et al.. (2024). Perivascular space burden interacts with APOE-ε4 status on cognition in older adults. Neurobiology of Aging. 136. 1–8.

Schilling, Kurt G., Elizabeth E. Moore, Logan Dumitrescu, et al.. (2024). Free-water: A promising structural biomarker for cognitive decline in aging and mild cognitive impairment. Imaging Neuroscience. 2. 1–16. 2 indexed citations

Cai, Leon Y., Qi Yang, Karthik Ramadass, et al.. (2024). Empirical assessment of the assumptions of ComBat with diffusion tensor imaging. Journal of Medical Imaging. 11(2). 24011–24011. 1 indexed citations

Geraci, Joseph, Bessi Qorri, Katherine A. Gifford, et al.. (2024). Using Machine Learning to Explore Multimodal Digital Markers for Early Detection of Cognitive Impairment in Alzheimer’s Disease. Alzheimer s & Dementia. 20(S2). 1 indexed citations

10.

Liu, Dandan, Logan Dumitrescu, Angela L. Jefferson, et al.. (2024). Clinical and demographic factors modify the association between plasma phosphorylated tau‐181 and cognition. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(4). e70047–e70047. 1 indexed citations

11.

Tanrıverdi, Kahraman, Antonina Risitano, Dandan Liu, et al.. (2024). Discovery plasma proteomics analyses identify proteins that interact with plasma ptau231 levels to predict longitudinal episodic memory trajectory over a 9‐year follow‐up period. Alzheimer s & Dementia. 20(S2). 1 indexed citations

12.

Ding, Huitong, Salman Rahman, Huanmei Wu, et al.. (2024). Assessment of Wearable Device Adherence for Monitoring Physical Activity in Older Adults: Pilot Cohort Study. JMIR Aging. 7. e60209–e60209. 4 indexed citations

13.

Archer, Derek B., Kurt G. Schilling, Elizabeth E. Moore, et al.. (2023). Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(4). e12468–e12468. 6 indexed citations

14.

Moore, Elizabeth E., Kimberly R. Pechman, Bennett A. Landman, et al.. (2023). The investigation of hippocampal free‐water as a biomarker for cognitive impairment and decline in older adults. Alzheimer s & Dementia. 19(S10). 1 indexed citations

15.

Seto, Mabel, Dandan Liu, Vladislav Petyuk, et al.. (2023). Whole blood transcript and protein abundance of the vascular endothelial growth factor family relate to cognitive performance. Neurobiology of Aging. 124. 11–17. 10 indexed citations

16.

Gifford, Katherine A., et al.. (2021). Seeking physical/mathematical coherence by recruiting and reconciling reasoning: A case study in E&M. The Physics Video Demonstration Database (Cornell University). 111–116. 1 indexed citations

17.

Hohman, Timothy J., et al.. (2017). APOE allele frequencies in suspected non-amyloid pathophysiology (SNAP) and the prodromal stages of Alzheimer’s Disease. PLoS ONE. 12(11). e0188501–e0188501. 10 indexed citations

18.

Jefferson, Angela L., Timothy J. Hohman, Dandan Liu, et al.. (2015). Adverse Vascular Risk is Related to Cognitive Decline in Older Adults. Journal of Alzheimer s Disease. 44(4). 1361–1373. 54 indexed citations

19.

Gifford, Katherine A., Dandan Liu, Timothy J. Hohman, et al.. (2015). A Mutual Self- and Informant-Report of Cognitive Complaint Correlates with Neuropathological Outcomes in Mild Cognitive Impairment. PLoS ONE. 10(11). e0141831–e0141831. 13 indexed citations

20.

Liu, Dandan, Jeannine S. Skinner, Katherine A. Gifford, & Angela L. Jefferson. (2014). P4‐149: BIRACIAL DIFFERENCES IN THE RELATION BETWEEN VASCULAR HEALTH AND NEUROPATHOLOGICAL MARKERS OF CEREBROVASCULAR DISEASE AND ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 10(4S_Part_23). 1 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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