Victor Liman

1.4k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Victor Liman is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Victor Liman has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Victor Liman's work include Neurological diseases and metabolism (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Pregnancy and preeclampsia studies (1 paper). Victor Liman is often cited by papers focused on Neurological diseases and metabolism (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Pregnancy and preeclampsia studies (1 paper). Victor Liman collaborates with scholars based in Sweden, United Kingdom and United States. Victor Liman's co-authors include Kaj Blennow, Henrik Zetterberg, Ulf Andréasson, Niklas Norgren, Tobias Derfuß, Raija L.P. Lindberg, Åsa Sandelius, Christian Barro, Jens Kühle and Niklas Mattsson and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Victor Liman

7 papers receiving 1.0k citations

Hit Papers

Comparison of three analytical platforms for quantificati... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Liman Sweden 6 543 303 222 211 169 7 1.1k
Aurélie Kas France 19 551 1.0× 130 0.4× 129 0.6× 133 0.6× 58 0.3× 73 1.2k
Sabine Schädelin Switzerland 14 349 0.6× 353 1.2× 151 0.7× 111 0.5× 452 2.7× 40 1.4k
Dimitri Renard France 18 519 1.0× 238 0.8× 223 1.0× 219 1.0× 114 0.7× 147 1.1k
Thomas Reithmeier Germany 19 478 0.9× 268 0.9× 84 0.4× 223 1.1× 76 0.4× 36 1.4k
Genjiro Hirose Japan 23 502 0.9× 322 1.1× 120 0.5× 178 0.8× 178 1.1× 94 1.4k
Rhys D. Brady Australia 23 720 1.3× 466 1.5× 106 0.5× 583 2.8× 58 0.3× 60 1.4k
Günther Bernert Austria 21 283 0.5× 486 1.6× 121 0.5× 66 0.3× 151 0.9× 57 1.4k
Ricardo Reisin Argentina 18 363 0.7× 184 0.6× 437 2.0× 211 1.0× 62 0.4× 85 1.1k
Matteo Foschi Italy 11 484 0.9× 191 0.6× 164 0.7× 134 0.6× 185 1.1× 55 1.0k
Alfonso Vázquez-Barquero Spain 19 400 0.7× 148 0.5× 54 0.2× 182 0.9× 217 1.3× 46 1.4k

Countries citing papers authored by Victor Liman

Since Specialization
Citations

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

Fields of papers citing papers by Victor Liman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Liman

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

All Works

7 of 7 papers shown
1.
Höglund, Kina, Hlin Kvartsberg, Una Smailović, et al.. (2019). Cerebrospinal fluid neurogranin in an inducible mouse model of neurodegeneration: A translatable marker of synaptic degeneration. Neurobiology of Disease. 134. 104645–104645. 19 indexed citations
2.
Kovács, Gábor G., Ulf Andréasson, Victor Liman, et al.. (2017). Plasma and cerebrospinal fluid tau and neurofilament concentrations in rapidly progressive neurological syndromes: a neuropathology‐based cohort. European Journal of Neurology. 24(11). 1326–1326. 61 indexed citations
3.
Karydas, Anna, Jee Bang, Richard Tsai, et al.. (2016). Plasma Neurofilament Light Chain Predicts Progression in Progressive Supranuclear Palsy (S39.005). Neurology. 86(16_supplement). 2 indexed citations
4.
Shahim, Pashtun, Magnus Gren, Victor Liman, et al.. (2016). Serum neurofilament light protein predicts clinical outcome in traumatic brain injury. Scientific Reports. 6(1). 36791–36791. 276 indexed citations
5.
Lenčo, Juraj, Marek Link, Vojtěch Tambor, et al.. (2016). Proteomic Analysis of Early Mid-Trimester Amniotic Fluid Does Not Predict Spontaneous Preterm Delivery. PLoS ONE. 11(5). e0155164–e0155164. 7 indexed citations
6.
Kühle, Jens, Christian Barro, Ulf Andréasson, et al.. (2016). Comparison of three analytical platforms for quantification of the neurofilament light chain in blood samples: ELISA, electrochemiluminescence immunoassay and Simoa. Clinical Chemistry and Laboratory Medicine (CCLM). 54(10). 1655–1661. 543 indexed citations breakdown →
7.
Rojas, Julio C., Anna Karydas, Jee Bang, et al.. (2016). Plasma neurofilament light chain predicts progression in progressive supranuclear palsy. Annals of Clinical and Translational Neurology. 3(3). 216–225. 147 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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