Christopher M. Masi

5.1k citations
38 papers · 3.7k indexed · 2 hit papers · h-index 23

Christopher M. Masi

38 papers receiving 3.5k citations

Hit Papers

A Meta-Analysis of Interventions to Reduce Loneliness2010202620152020201020104008001.2k

Peers

Christopher M. Masi
Comparison fields: 5 of 158
  • Health 1.6k
  • General Health Professions 1.2k
  • Social Psychology 839
  • Clinical Psychology 815
  • Sociology and Political Science 453
Replace Nicole Valtorta with:
Nicole Valtorta United Kingdom
Rikke Lund Denmark
Sarah J. Shema United States
Keith E. Whitfield United States
M. Kristen Peek United States
Anne McMunn United Kingdom
Erin York Cornwell United States
Ziggi Ivan Santini Denmark
Christian Hakulinen Finland
Margaret W. Linn United States
Christopher M. Masi relative to Nicole Valtorta United Kingdom Nicole Valtorta's profile →
Citations per field
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Nicole Valtorta · 1×
Citations per year

Countries citing papers authored by Christopher M. Masi

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Masi. 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 Christopher M. Masi. The network helps show where Christopher M. Masi may publish in the future.

Co-authorship network of co-authors of Christopher M. Masi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 11
3 24
4 26
5
Loneliness predicts increased blood pressure: 5-year cross-lagged analyses in middle-aged and older adults.breakdown →
483
6 7
7
A Meta-Analysis of Interventions to Reduce Lonelinessbreakdown →
1341
8 25
9 37
10 3
11 105
12 143
13 369
14 107
15 2
16 27
17 112
18 30
19 50
20 37

About Christopher M. Masi

Christopher M. Masi is a scholar working on Health, Aging and Behavioral Neuroscience, having authored 38 papers that have together received 3.7k indexed citations. Recurring topics across this work include Health disparities and outcomes (5 papers), Global Cancer Incidence and Screening (4 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (374 citations), Health (1.6k citations) and General Health Professions (1.2k citations). Christopher M. Masi has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Louise C. Hawkley, John T. Cacioppo, Hsi‐Yuan Chen, Ronald A. Thisted, Jarett D. Berry, Kate E. Pickett, Z Piotrowski, Edith M. Rickett, Sarah Gehlert and Monica E. Peek. Their work appears in journals such as Circulation, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.

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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