Annelissa Chin

1.8k citations
28 papers · 701 indexed · h-index 18

Annelissa Chin

27 papers receiving 692 citations

Peers

Annelissa Chin
Comparison fields: 5 of 70
  • Family Practice 52
  • Research and Theory 18
  • Public Health, Environmental and Occupational Health 522
  • Psychiatry and Mental health 192
  • General Health Professions 297
Replace Yun Ting Ong with:
Yun Ting Ong Singapore
Min Chiam Singapore
Kuang Teck Tay Singapore
Lorraine Hui En Tan Singapore
Susan Sawning United States
Anne C. Gill United States
Ying Pin Toh Singapore
Carrie Bohnert United States
Elizabeth Gaufberg United States
Carla L. Spagnoletti United States
Annelissa Chin relative to Yun Ting Ong Singapore Yun Ting Ong's profile →
Citations per field
00.5×1.6×
Yun Ting Ong · 1×
Citations per year

Countries citing papers authored by Annelissa Chin

Since Specialization
Citations

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

Fields of papers citing papers by Annelissa Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 202234
3 202243
4 202124
5 202158
6 202116
7 202133
8 202123
9 20209
10 202043
11 202038
12 202011
13 202016
14 202046
15 202011
16 202057
17 201924
18 201920
19 201911
20 201938

About Annelissa Chin

Annelissa Chin is a scholar working on Family Practice, Research and Theory and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 701 indexed citations. Recurring topics across this work include Innovations in Medical Education (18 papers), Mentoring and Academic Development (9 papers), Ethics in medical practice (6 papers), Diversity and Career in Medicine (6 papers), Interprofessional Education and Collaboration (5 papers), Patient-Provider Communication in Healthcare (5 papers), Family and Patient Care in Intensive Care Units (4 papers) and Reflective Practices in Education (3 papers). The work is most often cited by research in Family Practice (52 citations), Research and Theory (18 citations) and Public Health, Environmental and Occupational Health (522 citations). Annelissa Chin has collaborated with scholars based in Singapore, United Kingdom and United Arab Emirates. Frequent co-authors include Lalit Kumar Radha Krishna, Yun Ting Ong, Stephen Mason, Min Chiam, Ying Pin Toh, Kuang Teck Tay, Lorraine Hui En Tan, Clarissa Wei Shuen Cheong, Xiu Hui Tan and Chong Yao Ho. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Medical Teacher.

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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