Tien Dam

32 total papers · 1.3k total citations
14 papers, 224 citations indexed

About

Tien Dam is a scholar working on Neurology, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Tien Dam has authored 14 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 4 papers in Physiology and 3 papers in Cognitive Neuroscience. Recurrent topics in Tien Dam's work include Parkinson's Disease Mechanisms and Treatments (11 papers), Neurological disorders and treatments (7 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Tien Dam is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (11 papers), Neurological disorders and treatments (7 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Tien Dam collaborates with scholars based in United States, Canada and United Kingdom. Tien Dam's co-authors include Irene Litvan, Günter U. Höglinger, Joseph Kupferman, Cathy Lally, Anthony E. Lang, Christopher S. Simpson, Feiby L. Nassan, Nancy N. Maserejian, Lisa Vinikoor-Imler and Huw R. Morris and has published in prestigious journals such as Nature Medicine, Neurology and Movement Disorders.

In The Last Decade

Tien Dam

13 papers receiving 223 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tien Dam 127 97 48 44 31 14 224
Aitana Sogorb‐Esteve 73 0.6× 117 1.2× 33 0.7× 46 1.0× 64 2.1× 15 206
Kwang-Ming Chen 189 1.5× 81 0.8× 63 1.3× 60 1.4× 51 1.6× 17 309
Soreya Belarbi 132 1.0× 126 1.3× 45 0.9× 100 2.3× 49 1.6× 17 286
Peter A. Ljubenkov 89 0.7× 133 1.4× 32 0.7× 45 1.0× 44 1.4× 19 218
Miguel A. Labrador‐Espinosa 127 1.0× 62 0.6× 42 0.9× 60 1.4× 33 1.1× 18 196
Sonja G. Schütz 73 0.6× 202 2.1× 57 1.2× 21 0.5× 57 1.8× 14 302
Gloria Martí‐Andrés 108 0.9× 70 0.7× 31 0.6× 34 0.8× 39 1.3× 14 233
Valeria Calabrese 145 1.1× 78 0.8× 107 2.2× 66 1.5× 53 1.7× 13 309
Cármen Andrade 72 0.6× 89 0.9× 107 2.2× 76 1.7× 70 2.3× 16 320
Mara Bourbouli 115 0.9× 109 1.1× 43 0.9× 44 1.0× 47 1.5× 18 262

Countries citing papers authored by Tien Dam

Since Specialization
Citations

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

Fields of papers citing papers by Tien Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tien Dam

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

All Works

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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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