Suzanne E. Schindler

503 total citations · 1 hit paper
5 papers, 61 citations indexed

About

Suzanne E. Schindler is a scholar working on Psychiatry and Mental health, Physiology and Neurology. According to data from OpenAlex, Suzanne E. Schindler has authored 5 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Psychiatry and Mental health, 3 papers in Physiology and 1 paper in Neurology. Recurrent topics in Suzanne E. Schindler's work include Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Identity, Memory, and Therapy (1 paper). Suzanne E. Schindler is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Identity, Memory, and Therapy (1 paper). Suzanne E. Schindler collaborates with scholars based in United States, Sweden and United Kingdom. Suzanne E. Schindler's co-authors include John C. Morris, James G. Bollinger, Niklas Mattsson, Oskar Hansson, Randall J. Bateman, Shorena Janelidze, Kaj Blennow, Sebastian Palmqvist, Nicholas J. Ashton and Nicolas R. Barthélemy and has published in prestigious journals such as Neurology, JAMA Neurology and Alzheimer s & Dementia.

In The Last Decade

Suzanne E. Schindler

4 papers receiving 60 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.

Plasma Phosphorylated Tau 217 and Aβ42/40 to Predict Early Brain Aβ Accumulation in People Without Cognitive Impairment

2024 42 citations Shorena Janelidze, Nicolas R. Barthélemy et al. JAMA Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suzanne E. Schindler United States	3	36	36	7	6	6	5	61
Nuole Zhu Spain	4	48 1.3×	44 1.2×	6 0.9×	10 1.7×	2 0.3×	6	70
Ineke van Rossum Netherlands	3	55 1.5×	35 1.0×	17 2.4×	12 2.0×	8 1.3×	8	81
Géraldine Poulain Switzerland	2	31 0.9×	39 1.1×	2 0.3×	11 1.8×	5 0.8×	2	68
Adam L. Boxer United States	2	21 0.6×	12 0.3×	7 1.0×	3 0.5×	4 0.7×	6	39
Francesco Sciancalepore Italy	6	20 0.6×	15 0.4×	5 0.7×	2 0.3×	2 0.3×	20	64
Miriam Caputo Italy	3	76 2.1×	33 0.9×	14 2.0×	3 0.5×	2 0.3×	4	96
Aida Fernández‐Lebrero Spain	5	43 1.2×	21 0.6×	4 0.6×	11 1.8×	3 0.5×	6	112
Rebecca E. Langhough United States	5	40 1.1×	31 0.9×	11 1.6×	21 3.5×	1 0.2×	22	110
Eleonora M. Vromen Netherlands	5	32 0.9×	29 0.8×	9 1.3×	8 1.3×	6 1.0×	7	54
Rebecca Amariglio United States	3	65 1.8×	51 1.4×	19 2.7×	6 1.0×	1 0.2×	10	74

Countries citing papers authored by Suzanne E. Schindler

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne E. Schindler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne E. Schindler

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Hartz, Sarah M., Suzanne E. Schindler, Krista L. Moulder, et al.. (2025). Assessing the clinical meaningfulness of slowing CDR‐SB progression with disease‐modifying therapies for Alzheimer's disease. PubMed. 11(1). e70033–e70033. 4 indexed citations

2.

Mohammadi, Soheil, et al.. (2025). Effects of obesity on plasma biomarker and amyloid PET trajectories in Alzheimer's disease. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 17(3). e70143–e70143. 1 indexed citations

3.

Bateman, Randall J., Melody Li, Nicolas R. Barthélemy, et al.. (2024). Alzheimer’s disease blood tests of amyloid‐beta 42/40, %p‐tau217, 181, and 205 ratios and MTBR‐243 in real‐world populations: Results from SEABIRD and BioFINDER2. Alzheimer s & Dementia. 20(S2).

4.

Janelidze, Shorena, Nicolas R. Barthélemy, Gemma Salvadó, et al.. (2024). Plasma Phosphorylated Tau 217 and Aβ42/40 to Predict Early Brain Aβ Accumulation in People Without Cognitive Impairment. JAMA Neurology. 81(9). 947–947. 42 indexed citations breakdown →

5.

Gupta, Aditi, Inez Y. Oh, Suzanne E. Schindler, et al.. (2023). Association Between Socioeconomic Factors, Race, and Use of a Specialty Memory Clinic. Neurology. 101(14). e1424–e1433. 14 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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