Rita Lin

2.8k total citations · 1 hit paper
22 papers, 2.2k citations indexed

About

Rita Lin is a scholar working on Epidemiology, Hepatology and Rheumatology. According to data from OpenAlex, Rita Lin has authored 22 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 16 papers in Hepatology and 4 papers in Rheumatology. Recurrent topics in Rita Lin's work include Liver Disease Diagnosis and Treatment (17 papers), Hepatitis C virus research (15 papers) and Hepatitis B Virus Studies (6 papers). Rita Lin is often cited by papers focused on Liver Disease Diagnosis and Treatment (17 papers), Hepatitis C virus research (15 papers) and Hepatitis B Virus Studies (6 papers). Rita Lin collaborates with scholars based in Australia, Indonesia and Brazil. Rita Lin's co-authors include Dev Samarasinghe, Geoffrey C. Farrell, Christopher Liddle, Shivakumar Chitturi, Jacob George, Martin Weltman, Jason M. Hui, Shehan Abeygunasekera, Rooshdiya Z. Karim and Caroline Fung and has published in prestigious journals such as Hepatology, Gut and The Journal of Infectious Diseases.

In The Last Decade

Rita Lin

22 papers receiving 2.2k citations

Hit Papers

NASH and insulin resistance: Insulin hypersecretion and s... 2002 2026 2010 2018 2002 250 500 750

Peers

Rita Lin
Comparison fields: 5 of 77
  • Epidemiology 1.9k
  • Hepatology 985
  • Endocrinology, Diabetes and Metabolism 699
  • Surgery 296
  • Pathology and Forensic Medicine 237
Replace Dev Samarasinghe with:
Dev Samarasinghe Australia
Joel Z. Stengel United States
Miguel Carneiro de Moura Portugal
Terese Haaland Norway
Kittichai Promrat United States
Glen Lutchman United States
Elsbeth Henderson United Kingdom
F. Pons‐Romero Spain
Rosa Lombardi Italy
Oreste Lo Iacono Italy
Dev Samarasinghe Australia View profile →
Citations per field, relative to Rita Lin
Rita Lin · 1×
Citations per year, relative to Rita Lin
Rita Lin · 1×

Countries citing papers authored by Rita Lin

Since Specialization
Citations

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

Fields of papers citing papers by Rita Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Lin. A scholar is included among the top collaborators of Rita Lin 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 Rita Lin. Rita Lin 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
# Work Indexed citations
1 1
2 40
3 45
4 139
5 46
6 23
7 18
8 8
9 140
10
NASH and insulin resistance: Insulin hypersecretion and specific association with the insulin resistance syndrome breakdown →
936
11 184
12 293
13 12
14 135
15 31
16 107
17 18
18 14
19 4
20 11

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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