Anna Mach

24 papers receiving 365 citations

Peers

Anna Mach
Comparison fields: 5 of 83
  • Biological Psychiatry 11
  • Developmental Neuroscience 16
  • Radiology, Nuclear Medicine and Imaging 53
  • Cellular and Molecular Neuroscience 42
  • Pathology and Forensic Medicine 37
Replace Xueling Zhang with:
Xueling Zhang China
Akihiro Ueda Japan
Lucy Evans United States
Gwen S. Rees United Kingdom
Anna Månberg Sweden
Ruturaj Masvekar United States
Yuhui Liu China
Xinying Zhang China
Gustavo Adolfo Argañaraz Brazil
Haneen A. Al‐Mazroua Saudi Arabia
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Citations per field
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Xueling Zhang · 1×
Citations per year

Countries citing papers authored by Anna Mach

Since Specialization
Citations

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

Fields of papers citing papers by Anna Mach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Mach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Mach Line = papers co-authored together Anna Mach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201253
2 201151
3 201151
4 200739
5 199626
6 201821
7 201617
8
Pharmacokinetics of thioridazine and its metabolites in blood plasma and the brain of rats after acute and chronic treatment.
199816
9 201714
10 202014
11 202014
12 202310
13 20217
14 20205
15 20245
16 20155
17 20215
18 20174
19
SIMULTANEOUS ASSAY OF ARIPIPRAZOLE AND ITS ACTIVE METABOLITE IN SERUM BY HPLC.
20174
20 20233

About Anna Mach

Anna Mach is a scholar working on Molecular Biology, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Sociology and Political Science and Epidemiology, having authored 25 papers that have together received 369 indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (3 papers), Schizophrenia research and treatment (3 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Nerve injury and regeneration (2 papers), Multiple Sclerosis Research Studies (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Biological Psychiatry (11 citations), Developmental Neuroscience (16 citations), Radiology, Nuclear Medicine and Imaging (53 citations), Cellular and Molecular Neuroscience (42 citations) and Pathology and Forensic Medicine (37 citations). Anna Mach has collaborated with scholars based in Poland, United States and France. Frequent co-authors include Grażyna Gromadzka, Anna Członkowska, Dagmara Mirowska-Guzeł, Andrzej Członkowski, John Wurzel, Bruce Goldman, Richard R. Rustandi, John W. Loughney, Melissa Hamm and Sha Ha. Their work appears in journals such as Frontiers in Pharmacology, Journal of Neuroimmunology, Frontiers in Psychiatry, Journal of Clinical Medicine and International Journal of Environmental Research and Public Health.

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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