Shasha Han

1.3k citations
38 papers · 829 · 1 hit paper · h-index 11

Impact in

Papers in

Shasha Han

30 papers receiving 804 citations

Shasha Han's Hit Papers

Estimating the Attributable Cost of Physician Burnout in the United States 2019 · 585 citations
5850+2+4Years since publication100200300400500

Peers

Shasha Han
Comparison fields: 5 of 112
  • Research and Theory 22
  • General Health Professions 534
  • Gender Studies 146
  • Modeling and Simulation 59
  • Public Health, Environmental and Occupational Health 239
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Elizabeth Goelz United States
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Iffat Elbarazi United Arab Emirates
Megan Mahoney United States
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Sulmaz Ghahramani Iran
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Citations per field
00.5×8.4×
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Citations per year

Countries citing papers authored by Shasha Han

Since Specialization
Citations

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

Fields of papers citing papers by Shasha Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estimating the Attributable Cost of Physician Burnout in the United States
Hit paper breakdown →
2019585
2 202158
3 201118
4 202116
5 202314
6 200814
7 202212
8 202311
9 202310
10 202210
11 202210
12 20238
13 20237
14 20207
15 20106
16 20215
17 20235
18 20225
19 20215
20 20234

About Shasha Han

Shasha Han is a scholar working on Epidemiology, Molecular Biology, General Health Professions, Health and Economics and Econometrics, having authored 38 papers that have together received 829 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Health disparities and outcomes (3 papers), Respiratory viral infections research (3 papers), Advanced Causal Inference Techniques (3 papers), COVID-19 epidemiological studies (3 papers), Chronic Disease Management Strategies (3 papers), Electronic Health Records Systems (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Research and Theory (22 citations), General Health Professions (534 citations), Gender Studies (146 citations), Modeling and Simulation (59 citations) and Public Health, Environmental and Occupational Health (239 citations). Shasha Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Karim M. Awad, Liselotte N. Dyrbye, Lynne C. Fiscus, Joel Goh, Tait D. Shanafelt, Christine A. Sinsky, Mickey Trockel, Xiao‐Hua Zhou, Hongjie Yu and Jun Cai. Their work appears in journals such as Vaccine, JAMA Network Open, China CDC Weekly, Statistics in Medicine and Transfusion.

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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