Daniela Pochmann

43 papers receiving 565 citations

Peers

Daniela Pochmann
Comparison fields: 5 of 91
  • Physiology 169
  • Biological Psychiatry 78
  • Neurology 85
  • Behavioral Neuroscience 31
  • Psychiatry and Mental health 84
Replace Michael Di Palma with:
Michael Di Palma Italy
Sorabh Sharma India
Ana Juknat Israel
Mauren Assis Souza Brazil
Na Yue China
Leidiane Mazzardo‐Martins Brazil
Hong Xing United States
Caroline Zanotto Brazil
Maurício dos Santos Pereira Brazil
Gricelda Hernandez United States
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Citations per year

Countries citing papers authored by Daniela Pochmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pochmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Pochmann, 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 Daniela Pochmann Line = papers co-authored together Daniela Pochmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201873
2 201650
3 201639
4 202129
5 202024
6 202123
7 200423
8 201820
9 201019
10 202018
11 201417
12 202016
13 200415
14 200514
15 200513
16 201613
17 201813
18 202012
19 201012
20 202012

About Daniela Pochmann

Daniela Pochmann is a scholar working on Physiology, Psychiatry and Mental health, Molecular Biology, Pharmacology and Physiology, having authored 43 papers that have together received 572 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (16 papers), Tryptophan and brain disorders (5 papers), Exercise and Physiological Responses (4 papers), Child Nutrition and Feeding Issues (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Thyroid Disorders and Treatments (3 papers), Bipolar Disorder and Treatment (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Physiology (169 citations), Biological Psychiatry (78 citations), Neurology (85 citations), Behavioral Neuroscience (31 citations) and Psychiatry and Mental health (84 citations). Daniela Pochmann has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Viviane Rostirola Elsner, Lisiane O. Porciúncula, Rodrigo A. Cunha, Caroline Dani, Maria Luiza Morais Barreto‐Chaves, Alessandra Nejar Bruno, João José Freitas Sarkis, Felipe Klein Ricachenevsky, Carla Denise Bonan and Ana Patrícia Simões. Their work appears in journals such as Physiology & Behavior, Neurochemical Research, Molecular Neurobiology, Platelets and Journal of Enzyme Inhibition and Medicinal Chemistry.

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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