Adam P. Mecca

6.5k citations
93 papers · 2.5k indexed · 2 hit papers · h-index 21

Adam P. Mecca

88 papers receiving 2.5k citations

Hit Papers

Synaptic density and cognitive performance ...117201820262020202350100150200250

Peers

Adam P. Mecca
Comparison fields: 5 of 114
  • Cardiology and Cardiovascular Medicine 965
  • Biological Psychiatry 94
  • Neurology 269
  • Endocrinology, Diabetes and Metabolism 513
  • Cellular and Molecular Neuroscience 539
Replace Jun Iwanami with:
Jun Iwanami Japan
Grazia Daniela Femminella Italy
Peter Dominiak Germany
Li‐Juan Min Japan
Kana Tsukuda Japan
Yasuo Terayama Japan
Jinsheng Zeng China
José Vivancos Spain
Vladimir V. Matchkov Denmark
Takao Urabe Japan
Adam P. Mecca relative to Jun Iwanami Japan Jun Iwanami's profile →
Citations per field
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Citations per year

Countries citing papers authored by Adam P. Mecca

Since Specialization
Citations

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

Fields of papers citing papers by Adam P. Mecca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam P. Mecca. 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 Adam P. Mecca. The network helps show where Adam P. Mecca may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20243
4 20243
5 20245
6 202415
7 202312
8 20221
9 20215
10 202172
11 202119
12 202040
13 20198
14 201916
15 201727
16 201354
17 20102
18 200939
19 2006175
20 200641

About Adam P. Mecca

Adam P. Mecca is a scholar working on Neurology, Psychiatry and Mental health and Cognitive Neuroscience, having authored 93 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (31 papers), Functional Brain Connectivity Studies (19 papers), Neuroscience and Neuropharmacology Research (18 papers), Dementia and Cognitive Impairment Research (17 papers), Renin-Angiotensin System Studies (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Medical Imaging Techniques and Applications (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (965 citations), Biological Psychiatry (94 citations) and Neurology (269 citations). Adam P. Mecca has collaborated with scholars based in United States, Iran and Sweden. Frequent co-authors include Michael J. Katovich, Justin L. Grobe, Mohan K. Raizada, Colin Sumners, Christopher H. van Dyck, Richard E. Carson, Robert W. Regenhardt, Nabeel Nabulsi, Yiyun Huang and Mika Naganawa. Their work appears in journals such as Alzheimer s & Dementia, American Journal of Geriatric Psychiatry, Alzheimer s Research & Therapy, NeuroImage and Journal of Visualized Experiments.

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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