Philipp G. Saemann

885 total citations
16 papers, 456 citations indexed

About

Philipp G. Saemann is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Philipp G. Saemann has authored 16 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Philipp G. Saemann's work include Neurological disorders and treatments (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Functional Brain Connectivity Studies (3 papers). Philipp G. Saemann is often cited by papers focused on Neurological disorders and treatments (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Functional Brain Connectivity Studies (3 papers). Philipp G. Saemann collaborates with scholars based in Germany, United Kingdom and United States. Philipp G. Saemann's co-authors include Dorothee P. Auer, Becky Inkster, Paul M. Matthews, Pierandrea Muglia, Thomas E. Nichols, Thomas Klopstock, Stefan Bohlen, Herwig W. Lange, Ralf Reilmann and A. Weindl and has published in prestigious journals such as NeuroImage, Biological Psychiatry and American Journal of Roentgenology.

In The Last Decade

Philipp G. Saemann

16 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp G. Saemann Germany 11 127 120 120 97 75 16 456
Yarema Bezchlibnyk United States 14 117 0.9× 195 1.6× 90 0.8× 102 1.1× 218 2.9× 36 602
Micaela Santos Switzerland 10 73 0.6× 60 0.5× 58 0.5× 228 2.4× 141 1.9× 10 533
Shawn Kohler United States 6 33 0.3× 144 1.2× 82 0.7× 165 1.7× 91 1.2× 7 606
Derya Sargin Canada 12 52 0.4× 124 1.0× 120 1.0× 145 1.5× 68 0.9× 20 556
Daniel T. Ohm United States 13 66 0.5× 137 1.1× 66 0.6× 146 1.5× 98 1.3× 22 505
Charles P. Pluto United States 9 77 0.6× 292 2.4× 118 1.0× 126 1.3× 91 1.2× 15 458
Michael Dattilo United States 10 103 0.8× 179 1.5× 87 0.7× 51 0.5× 21 0.3× 28 490
Kevin G. Broadbelt United States 14 33 0.3× 266 2.2× 249 2.1× 122 1.3× 43 0.6× 15 771
Sanaz Gabery Sweden 14 221 1.7× 223 1.9× 190 1.6× 92 0.9× 65 0.9× 25 718
Noboru Kitamura Japan 14 55 0.4× 351 2.9× 217 1.8× 146 1.5× 62 0.8× 22 652

Countries citing papers authored by Philipp G. Saemann

Since Specialization
Citations

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

Fields of papers citing papers by Philipp G. Saemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philipp G. Saemann. 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 Philipp G. Saemann. The network helps show where Philipp G. Saemann may publish in the future.

Co-authorship network of co-authors of Philipp G. Saemann

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

All Works

16 of 16 papers shown
1.
Wiedemann, Martin, et al.. (2022). The Suction Panel - xHLFC and Structural Solution for Energy Efficient Aviation. AIAA SCITECH 2022 Forum. 3 indexed citations
2.
Schneider, Max, Immanuel Elbau, Dorothee Pöhlchen, et al.. (2020). Pupil Dilation during Reward Anticipation Is Correlated to Depressive Symptom Load in Patients with Major Depressive Disorder. Brain Sciences. 10(12). 906–906. 15 indexed citations
3.
Saemann, Philipp G., Michael Czisch, Neda Jahanshad, et al.. (2019). 22. Meta-Analysis of Hippocampal Subfields: Results From the ENIGMA-MDD Working Group. Biological Psychiatry. 85(10). S9–S9. 1 indexed citations
4.
Sun, Delin, S. Lindsey Davis, Courtney C. Haswell, et al.. (2018). Smaller hippocampal CA1 subfield volume in posttraumatic stress disorder. Depression and Anxiety. 35(11). 1018–1029. 50 indexed citations
5.
Ridler, Khanum, Thomas E. Nichols, Philipp G. Saemann, et al.. (2011). Thyroid hormone transporter genes and grey matter changes in patients with major depressive disorder and healthy controls. Psychoneuroendocrinology. 36(6). 929–934. 7 indexed citations
6.
Inkster, Becky, Thomas E. Nichols, Philipp G. Saemann, et al.. (2010). Pathway-based approaches to imaging genetics association studies: Wnt signaling, GSK3beta substrates and major depression. NeuroImage. 53(3). 908–917. 58 indexed citations
7.
Reilmann, Ralf, Stefan Bohlen, Thomas Klopstock, et al.. (2010). Tongue force analysis assesses motor phenotype in premanifest and symptomatic Huntington's disease. Movement Disorders. 25(13). 2195–2202. 42 indexed citations
8.
Reilmann, Ralf, Stefan Bohlen, Thomas Klopstock, et al.. (2010). Grasping premanifest Huntington's disease – shaping new endpoints for new trials. Movement Disorders. 25(16). 2858–2862. 35 indexed citations
9.
Inkster, Becky, Anil Rao, Khanum Ridler, et al.. (2010). Structural Brain Changes in Patients with Recurrent Major Depressive Disorder Presenting with Anxiety Symptoms. Journal of Neuroimaging. 21(4). 375–382. 49 indexed citations
10.
Inkster, Becky, Anil Rao, Khanum Ridler, et al.. (2010). Genetic variation in GOLM1 and prefrontal cortical volume in Alzheimer's disease. Neurobiology of Aging. 33(3). 457–465. 10 indexed citations
11.
Inkster, Becky, Thomas E. Nichols, Philipp G. Saemann, et al.. (2009). Association of GSK3β Polymorphisms With Brain Structural Changes in Major Depressive Disorder. Archives of General Psychiatry. 66(7). 721–721. 84 indexed citations
12.
O’Sullivan, Michael, Éric Jouvent, Philipp G. Saemann, et al.. (2008). Measurement of brain atrophy in subcortical vascular disease: A comparison of different approaches and the impact of ischaemic lesions. NeuroImage. 43(2). 312–320. 22 indexed citations
13.
O’Sullivan, Michael, Anand Viswanathan, Éric Jouvent, et al.. (2007). Hippocampal volume is an independent predictor of cognitive performance in CADASIL. Neurobiology of Aging. 30(6). 890–897. 61 indexed citations
14.
O’Sullivan, Michael, Éric Jouvent, Anand Viswanathan, et al.. (2007). Assessing brain atrophy in subcortical vascular disease: A comparison of 3 methods and the impact of lesions on volume measurements in CADASIL. Max Planck Institute for Plasma Physics. 38(2). 583–583. 1 indexed citations
15.
Heidenreich, Jens O., Thomas Klopstock, Timo Schirmer, et al.. (2006). Chronic Progressive External Ophthalmoplegia: MR Spectroscopy and MR Diffusion Studies in the Brain. American Journal of Roentgenology. 187(3). 820–824. 15 indexed citations
16.
Reilmann, Ralf, Stefan Bohlen, Philipp G. Saemann, et al.. (2005). Multimodal objective assessment of motor deficits in Huntington's disease using isometric force analysis. Max Planck Institute for Plasma Physics. 76. 3 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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