Lena Thin

22 papers receiving 199 citations

Peers

Lena Thin
Comparison fields: 5 of 32
  • Genetics 80
  • Rheumatology 30
  • Epidemiology 64
  • Transplantation 5
  • Hepatology 12
Replace M. Giannotta with:
M. Giannotta Italy
Hilbert S. de Vries Netherlands
Wolfgang Mohl Germany
Arnaud Boureille France
Vasileios Theopistos Greece
J.A. Carneros Spain
Maja Ideström Sweden
Ruth de Francisco Spain
P. Hindryckx Belgium
Priscila Santiago United States
Lena Thin relative to M. Giannotta Italy M. Giannotta's profile →
Citations per field
00.5×2.7×
M. Giannotta · 1×
Citations per year

Countries citing papers authored by Lena Thin

Since Specialization
Citations

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

Fields of papers citing papers by Lena Thin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201330
2 201228
3 200925
4 201423
5 202021
6 200914
7 202014
8 20249
9 20256
10 20186
11 20206
12 20255
13 20234
14
Switching Australian patients with moderate to severe inflammatory bowel disease from originator infliximab to biosimilar Inflectra: Interim results from a multicenter parallel cohort study
20192
15 20232
16 20182
17 20232
18 20231
19 20231
20 20231

About Lena Thin

Lena Thin is a scholar working on Genetics, Surgery, Oncology, Infectious Diseases and Epidemiology, having authored 24 papers that have together received 206 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (12 papers), Biosimilars and Bioanalytical Methods (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Colorectal Cancer Screening and Detection (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Gastrointestinal Bleeding Diagnosis and Treatment (1 paper) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Genetics (80 citations), Rheumatology (30 citations), Epidemiology (64 citations), Transplantation (5 citations) and Hepatology (12 citations). Lena Thin has collaborated with scholars based in Australia, United States and Brazil. Frequent co-authors include Ian C. Lawrance, Kevin Murray, C. Welman, Daniel Wong, Katrina Spilsbury, Warren Raymond, John K. Olynyk, Dev Segarajasingam, Leon A. Adams and Gary P. Jeffrey. Their work appears in journals such as Journal of Crohn s and Colitis, Journal of Gastroenterology and Hepatology, Inflammatory Bowel Diseases, Gastroenterology and Therapeutic Advances in Gastroenterology.

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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