Emily Larson

590 citations
7 papers · 360 · 1 hit paper · h-index 4

Impact in

Papers in

Emily Larson

5 papers receiving 339 citations

Emily Larson's Hit Papers

Psychological Language on Twitter Predicts County-Level Heart Disease Mortality 2015 · 322 citations
3220+3+7Years since publication100200300

Peers

Emily Larson
Comparison fields: 5 of 89
  • Health 69
  • Applied Psychology 39
  • Social Psychology 119
  • Health Informatics 5
  • General Social Sciences 11
Replace Sneha Jha with:
Sneha Jha India
Garrick Sherman United States
Marijn ten Thij Netherlands
Hansen Andrew Schwartz United States
Tae Min Song South Korea
Sixiang Cheng China
Krishna C. Bathina United States
Lyle Ungar United States
Christina Mancheno United States
Sahiti Myneni United States
Emily Larson relative to Sneha Jha India Sneha Jha's profile →
Citations per field
00.5×1.5×
Sneha Jha · 1×
Citations per year

Countries citing papers authored by Emily Larson

Since Specialization
Citations

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

Fields of papers citing papers by Emily Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Psychological Language on Twitter Predicts County-Level Heart Disease Mortality
Hit paper breakdown →
2015322
2 202216
3 200911
4 20149
5 20152
6 20230
7 20210

About Emily Larson

Emily Larson is a scholar working on General Health Professions, Clinical Psychology, Health, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 360 indexed citations. Recurring topics across this work include Mindfulness and Compassion Interventions (2 papers), Healthcare professionals’ stress and burnout (2 papers), Metabolism and Genetic Disorders (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Perfectionism, Procrastination, Anxiety Studies (1 paper), Marriage and Sexual Relationships (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and Grit, Self-Efficacy, and Motivation (1 paper). The work is most often cited by research in Health (69 citations), Applied Psychology (39 citations), Social Psychology (119 citations), Health Informatics (5 citations) and General Social Sciences (11 citations). Emily Larson has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Maarten Sap, Hansen Andrew Schwartz, Lyle Ungar, Margaret L. Kern, Darwin R. Labarthe, Lukasz Dziurzynski, Johannes C. Eichstaedt, Megha Agrawal, Raina M. Merchant and Sneha Jha. Their work appears in journals such as Remediation Journal, Psychological Science, Applied Developmental Science, Xenobiotica and Partner Abuse.

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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