Gosia Trynka

21.2k total citations · 1 hit paper
44 papers, 3.1k citations indexed

About

Gosia Trynka is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Gosia Trynka has authored 44 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Genetics and 18 papers in Immunology. Recurrent topics in Gosia Trynka's work include Celiac Disease Research and Management (15 papers), Genetic Associations and Epidemiology (10 papers) and Single-cell and spatial transcriptomics (7 papers). Gosia Trynka is often cited by papers focused on Celiac Disease Research and Management (15 papers), Genetic Associations and Epidemiology (10 papers) and Single-cell and spatial transcriptomics (7 papers). Gosia Trynka collaborates with scholars based in United Kingdom, United States and Netherlands. Gosia Trynka's co-authors include Eddie Cano-Gamez, Cisca Wijmenga, Soumya Raychaudhuri, David A. van Heel, Alexandra Zhernakova, Barbara E. Stranger, Buhm Han, Han Xu, X. Shirley Liu and Cynthia Sandor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Gosia Trynka

44 papers receiving 3.0k citations

Hit Papers

From GWAS to Function: Using Functional Genomics to Ident... 2020 2026 2022 2024 2020 100 200 300

Peers

Gosia Trynka
Comparison fields: 5 of 121
  • Molecular Biology 1.3k
  • Genetics 1.2k
  • Immunology 838
  • Gastroenterology 601
  • Epidemiology 443
Replace Elena Urcelay with:
Elena Urcelay Spain
Isabelle Cleynen Belgium
Kevin S. Smith United States
Sarah Ennis United Kingdom
Sarah L. Davies United Kingdom
Janelle A. Noble United States
Carl A. Anderson United Kingdom
Alexandra–Chloé Villani United States
Xin Geng China
Benjamin P. Fairfax United Kingdom
Elena Urcelay Spain View profile →
Citations per field, relative to Gosia Trynka
Gosia Trynka · 1×
Citations per year, relative to Gosia Trynka
Gosia Trynka · 1×

Countries citing papers authored by Gosia Trynka

Since Specialization
Citations

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

Fields of papers citing papers by Gosia Trynka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gosia Trynka

This figure shows the co-authorship network connecting the top 25 collaborators of Gosia Trynka. A scholar is included among the top collaborators of Gosia Trynka 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 Gosia Trynka. Gosia Trynka 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 4
2 1
3 5
4 60
5 13
6 18
7 116
8 145
9
From GWAS to Function: Using Functional Genomics to Identify the Mechanisms Underlying Complex Diseases breakdown →
315
10 63
11 201
12 3
13 104
14 27
15 47
16 29
17 162
18 14
19 127
20 29

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026