Johannes Textor

7.8k citations
99 papers · 4.0k indexed · 2 hit papers · h-index 26

Johannes Textor

92 papers receiving 3.9k citations

Hit Papers

Robust causal inference using directed acyclic graphs: th...20162026201920222016202050010001.5k

Peers

Johannes Textor
Comparison fields: 5 of 192
  • Immunology 608
  • Oncology 544
  • Epidemiology 507
  • Public Health, Environmental and Occupational Health 431
  • Surgery 413
Replace Natacha Turck with:
Natacha Turck Switzerland
Mark P. Little United States
Xavier Robin Switzerland
Alexandre Hainard Switzerland
Natalia Tiberti Italy
Jean-Charles Sanchez Switzerland
Karen Messer United States
Jelle J. Goeman Netherlands
Edwin R. van den Heuvel Netherlands
Ana-Maria Šimundić Croatia
Johannes Textor relative to Natacha Turck Switzerland Natacha Turck's profile →
Citations per field
00.5×1.5×
Natacha Turck · 1×
Citations per year

Countries citing papers authored by Johannes Textor

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Textor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Textor

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Textor. A scholar is included among the top collaborators of Johannes Textor 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 Johannes Textor. Johannes Textor 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
#WorkIndexed citations
1 4
2 1
3 5
4 17
5 28
6 146
7 33
8 15
9 12
10 71
11
Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendationsbreakdown →
534
12 3
13 36
14 169
15 28
16
Efficiently finding conditional instruments for causal inference
9
17
Constructing separators and adjustment sets in ancestral graphs
30
18 6
19
Infantile fibromatosis of the neck with intracranial involvement: MR and CT findings.
19
20 31

About Johannes Textor

Johannes Textor is a scholar working on Statistics and Probability, Immunology and Hepatology, having authored 99 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (19 papers), Cancer Immunotherapy and Biomarkers (13 papers) and T-cell and B-cell Immunology (12 papers). The work is most often cited by research in Statistics and Probability (236 citations), Immunology (608 citations) and Health, Toxicology and Mutagenesis (349 citations). Johannes Textor has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include George T. H. Ellison, Mark S. Gilthorpe, Maciej Liśkiewicz, Benito van der Zander, Rob J. de Boer, Inge M. N. Wortel, Carl G. Figdor, Peter W. G. Tennant, I. Jolanda M. de Vries and Matthew P. Fox. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

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