Katherine Lin

28 papers receiving 514 citations

Peers

Katherine Lin
Comparison fields: 5 of 124
  • Health 87
  • General Health Professions 220
  • Gender Studies 49
  • Environmental Chemistry 47
  • Demography 52
Replace Dean Sonneborn with:
Dean Sonneborn United States
GM Monawar Hosain United States
Megan Todd United States
Jennifer J. García United States
Joyce Moon-Howard United States
Zhizhou Duan China
Valeska Carvalho Figueiredo Brazil
Xiaowen Tu China
Jeffrey C. Salloway United States
Helen B. Chin United States
Katherine Lin relative to Dean Sonneborn United States Dean Sonneborn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Katherine Lin

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013198
2 201051
3 200336
4 201331
5 201730
6 201428
7 201322
8 202222
9 202121
10 201720
11 201818
12 201912
13 20197
14 20236
15 20236
16 20235
17 20243
18 20223
19 20213
20 20252

About Katherine Lin

Katherine Lin is a scholar working on General Health Professions, Oncology, Public Health, Environmental and Occupational Health, Health and Sociology and Political Science, having authored 36 papers that have together received 533 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (8 papers), Health disparities and outcomes (6 papers), Innovations in Medical Education (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Food Security and Health in Diverse Populations (2 papers), Work-Family Balance Challenges (2 papers), Migration, Health and Trauma (2 papers) and Medical Education and Admissions (2 papers). The work is most often cited by research in Health (87 citations), General Health Professions (220 citations), Gender Studies (49 citations), Environmental Chemistry (47 citations) and Demography (52 citations). Katherine Lin has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Sarah Burgard, Harold F. Hemond, Andrea Fuhrel-Forbis, Raymond De Vries, Renée R. Anspach, Yue Sun, Guo Qin Xu, Sarah Seelye, Michael R. Elliott and Scarlett Lin Gomez. Their work appears in journals such as Social Science & Medicine, Cancer Epidemiology Biomarkers & Prevention, JNCI Journal of the National Cancer Institute, American Journal of Preventive Medicine and Journal of the American College of Cardiology.

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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