Sara E. Berman

2.3k citations
40 papers · 1.3k indexed · h-index 22

Sara E. Berman

39 papers receiving 1.3k citations

Peers

Sara E. Berman
Comparison fields: 5 of 104
  • Psychiatry and Mental health 470
  • Neurology 177
  • Physiology 323
  • Cardiology and Cardiovascular Medicine 247
  • Otorhinolaryngology 45
Replace Benjamin F.J. Verhaaren with:
Benjamin F.J. Verhaaren Netherlands
Usman Khan United States
Emily S. Lundt United States
J. L. Cobb United States
Minna Oinas Finland
Aihong Zhou China
Qi Guo China
Dandan Liu China
Vincenzo Fodale Italy
Basil A. Eldadah United States
Sara E. Berman relative to Benjamin F.J. Verhaaren Netherlands Benjamin F.J. Verhaaren's profile →
Citations per field
00.5×3.8×
Benjamin F.J. Verhaaren · 1×
Citations per year

Countries citing papers authored by Sara E. Berman

Since Specialization
Citations

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

Fields of papers citing papers by Sara E. Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara E. Berman. 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 Sara E. Berman. The network helps show where Sara E. Berman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202216
2 202016
3 20194
4 201727
5 201719
6 201729
7 201731
8 2017183
9 201715
10 201638
11 201669
12 201639
13 201154
14 200823
15 200726
16 20067
17 200438
18 20016
19 19962
20 19953

About Sara E. Berman

Sara E. Berman is a scholar working on Psychiatry and Mental health, Neurology, Cardiology and Cardiovascular Medicine, Biological Psychiatry and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (18 papers), Cerebrovascular and Carotid Artery Diseases (11 papers), Cardiovascular Health and Disease Prevention (9 papers), Alzheimer's disease research and treatments (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Health, Environment, Cognitive Aging (5 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Acute Ischemic Stroke Management (3 papers). The work is most often cited by research in Psychiatry and Mental health (470 citations), Neurology (177 citations), Physiology (323 citations), Cardiology and Cardiovascular Medicine (247 citations) and Otorhinolaryngology (45 citations). Sara E. Berman has collaborated with scholars based in United States, Israel and Sweden. Frequent co-authors include Sterling C. Johnson, Cynthia M. Carlsson, Lindsay R. Clark, Sanjay Asthana, Rebecca L. Koscik, Barbara B. Bendlin, Bruce P. Hermann, Kimberly D. Mueller, Howard A. Rowley and Oliver Wieben. Their work appears in journals such as Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Alzheimer s & Dementia, Nephrology Dialysis Transplantation, Journal of Cerebral Blood Flow & Metabolism and Journal of Alzheimer s Disease.

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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