Johan Lilja

1.7k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

Johan Lilja is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Johan Lilja has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Psychiatry and Mental health, 15 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Physiology. Recurrent topics in Johan Lilja's work include Dementia and Cognitive Impairment Research (16 papers), Alzheimer's disease research and treatments (9 papers) and Medical Imaging Techniques and Applications (8 papers). Johan Lilja is often cited by papers focused on Dementia and Cognitive Impairment Research (16 papers), Alzheimer's disease research and treatments (9 papers) and Medical Imaging Techniques and Applications (8 papers). Johan Lilja collaborates with scholars based in Sweden, United Kingdom and United States. Johan Lilja's co-authors include Christoph P. Hofstetter, Christian Spenger, Petra Schweinhardt, Jonas Frisén, Zsuzsanna Wiesenfeld‐Hallin, Shekar N. Kurpad, Lennart Thurfjell, Roger Lundqvist, Rik Vandenberghe and Christopher Buckley and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and NeuroImage.

In The Last Decade

Johan Lilja

24 papers receiving 1.2k citations

Hit Papers

Allodynia limits the usefulness of intraspinal neural ste... 2005 2026 2012 2019 2005 100 200 300 400 500
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.

  1. Allodynia limits the usefulness of intraspinal neural stem cell grafts; directed differentiation improves outcome
    2005 511 citations Christoph P. Hofstetter, Johan Lilja et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Lilja Sweden 14 418 400 383 276 270 25 1.2k
Bert Bosche Germany 21 215 0.5× 115 0.3× 298 0.8× 129 0.5× 68 0.3× 38 1.3k
Shona Clegg United Kingdom 8 311 0.7× 256 0.6× 83 0.2× 203 0.7× 41 0.2× 11 1.0k
Giuseppina Caiazzo Italy 21 347 0.8× 128 0.3× 190 0.5× 274 1.0× 20 0.1× 50 1.2k
Shihui Xing China 23 99 0.2× 182 0.5× 262 0.7× 311 1.1× 98 0.4× 76 1.6k
Witold Libionka Poland 12 75 0.2× 191 0.5× 591 1.5× 124 0.4× 106 0.4× 34 1.5k
O.J.M. Vogels Netherlands 23 132 0.3× 504 1.3× 504 1.3× 187 0.7× 24 0.1× 42 1.8k
János Tajti Hungary 15 332 0.8× 218 0.5× 230 0.6× 42 0.2× 26 0.1× 34 935
Yeong-In Kim South Korea 21 226 0.5× 137 0.3× 248 0.6× 79 0.3× 30 0.1× 64 1.3k
Justin C. Clark United States 18 86 0.2× 163 0.4× 152 0.4× 63 0.2× 182 0.7× 34 1.2k
Elizabeth J. Cochran United States 20 306 0.7× 663 1.7× 488 1.3× 126 0.5× 50 0.2× 44 1.7k

Countries citing papers authored by Johan Lilja

Since Specialization
Citations

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

Fields of papers citing papers by Johan Lilja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Lilja

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Lilja. A scholar is included among the top collaborators of Johan Lilja 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 Johan Lilja. Johan Lilja 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.
Verdi, Serena, Seyed Mostafa Kia, Anna Fitzgerald, et al.. (2024). Alzheimer's disease heterogeneity revealed by neuroanatomical normative modeling. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(1). e12559–e12559. 9 indexed citations
2.
Jovalekic, Aleksandar, Núria Roé-Vellvé, Norman Koglin, et al.. (2023). Validation of quantitative assessment of florbetaben PET scans as an adjunct to the visual assessment across 15 software methods. European Journal of Nuclear Medicine and Molecular Imaging. 50(11). 3276–3289. 21 indexed citations
3.
Bollack, Ariane, Paweł Markiewicz, Alle Meije Wink, et al.. (2023). Evaluation of novel data-driven metrics of amyloid β deposition for longitudinal PET studies. NeuroImage. 280. 120313–120313.
4.
Pemberton, Hugh, Christopher Buckley, Mark Battle, et al.. (2023). Software compatibility analysis for quantitative measures of [18F]flutemetamol amyloid PET burden in mild cognitive impairment. EJNMMI Research. 13(1). 48–48. 5 indexed citations
5.
Lilja, Johan, et al.. (2023). Prevalence of atrial fibrillation and reasons for undertreatment with oral anticoagulants. Journal of Thrombosis and Thrombolysis. 57(1). 101–106. 1 indexed citations
6.
Haller, Sven, Johan Lilja, Cristelle Rodriguez, et al.. (2020). PET amyloid in normal aging: direct comparison of visual and automatic processing methods. Scientific Reports. 10(1). 16665–16665. 15 indexed citations
7.
Leuzy, Antoine, Johan Lilja, Christopher Buckley, et al.. (2020). Derivation and utility of an Aβ-PET pathology accumulation index to estimate Aβ load. Neurology. 95(21). e2834–e2844. 12 indexed citations
8.
Haller, Sven, Marie‐Louise Montandon, Cristelle Rodriguez, et al.. (2019). Amyloid Load, Hippocampal Volume Loss, and Diffusion Tensor Imaging Changes in Early Phases of Brain Aging. Frontiers in Neuroscience. 13. 1228–1228. 8 indexed citations
9.
Thal, Dietmar Rudolf, Alicja Ronisz, Thomas Tousseyn, et al.. (2019). Different aspects of Alzheimer’s disease-related amyloid β-peptide pathology and their relationship to amyloid positron emission tomography imaging and dementia. Acta Neuropathologica Communications. 7(1). 178–178. 31 indexed citations
10.
Leuzy, Antoine, Irina Savitcheva, Konstantinos Chiotis, et al.. (2019). Clinical impact of [18F]flutemetamol PET among memory clinic patients with an unclear diagnosis. European Journal of Nuclear Medicine and Molecular Imaging. 46(6). 1276–1286. 38 indexed citations
11.
Thal, Dietmar Rudolf, Thomas G. Beach, Michelle Zanette, et al.. (2018). Estimation of amyloid distribution by [18F]flutemetamol PET predicts the neuropathological phase of amyloid β-protein deposition. Acta Neuropathologica. 136(4). 557–567. 38 indexed citations
12.
Lilja, Johan, Antoine Leuzy, Konstantinos Chiotis, et al.. (2018). Spatial Normalization of18F-Flutemetamol PET Images Using an Adaptive Principal-Component Template. Journal of Nuclear Medicine. 60(2). 285–291. 37 indexed citations
13.
Fällmar, David, Sven Haller, Johan Lilja, et al.. (2017). Arterial spin labeling-based Z-maps have high specificity and positive predictive value for neurodegenerative dementia compared to FDG-PET. European Radiology. 27(10). 4237–4246. 31 indexed citations
14.
Lilja, Johan, Lennart Thurfjell, & Jens Christian Hedemann Sørensen. (2016). Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for18F-Flutemetamol PET Using Variable Depth. Journal of Nuclear Medicine. 57(7). 1078–1083. 10 indexed citations
15.
Adamczuk, Katarzyna, Jolien Schaeverbeke, Natalie Nelissen, et al.. (2015). Amyloid imaging in cognitively normal older adults: comparison between 18F-flutemetamol and 11C-Pittsburgh compound B. European Journal of Nuclear Medicine and Molecular Imaging. 43(1). 142–151. 33 indexed citations
16.
Adamczuk, Katarzyna, Jolien Schaeverbeke, Hugo Vanderstichele, et al.. (2015). Diagnostic value of cerebrospinal fluid Aβ ratios in preclinical Alzheimer’s disease. Alzheimer s Research & Therapy. 7(1). 75–75. 38 indexed citations
17.
Thurfjell, Lennart, Johan Lilja, Roger Lundqvist, et al.. (2014). Automated Quantification of 18F-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads. Journal of Nuclear Medicine. 55(10). 1623–1628. 166 indexed citations
18.
Lundqvist, Roger, Johan Lilja, Benjamin A. Thomas, et al.. (2013). Implementation and Validation of an Adaptive Template Registration Method for 18F-Flutemetamol Imaging Data. Journal of Nuclear Medicine. 54(8). 1472–1478. 83 indexed citations
19.
Lilja, Johan, Toshiki Endo, Christoph P. Hofstetter, et al.. (2006). Blood Oxygenation Level-Dependent Visualization of Synaptic Relay Stations of Sensory Pathways along the Neuroaxis in Response to Graded Sensory Stimulation of a Limb. Journal of Neuroscience. 26(23). 6330–6336. 74 indexed citations
20.
Hofstetter, Christoph P., Johan Lilja, Petra Schweinhardt, et al.. (2005). Allodynia limits the usefulness of intraspinal neural stem cell grafts; directed differentiation improves outcome. Nature Neuroscience. 8(3). 346–353. 511 indexed citations breakdown →

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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