Anja Jacobs

37 papers receiving 990 citations

Peers

Anja Jacobs
Comparison fields: 5 of 115
  • Dermatology 182
  • Statistics, Probability and Uncertainty 155
  • Immunology 213
  • Pathology and Forensic Medicine 101
  • Health Informatics 5
Replace Enrico Compalati with:
Enrico Compalati Italy
Nicole Li United States
John R Ingram United Kingdom
Oluseyi Aliu United States
Hema N. Viswanathan United States
Paul Celano United States
Puja Khanna United States
Neil Johnson New Zealand
Matthew A. Rank United States
Bente Glintborg Denmark
Anja Jacobs relative to Enrico Compalati Italy Enrico Compalati's profile →
Citations per field
00.5×10.3×
Enrico Compalati · 1×
Citations per year

Countries citing papers authored by Anja Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Anja Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019134
2 2015102
3 200987
4 201355
5 201650
6 198649
7 202049
8 201047
9 201542
10 202041
11 201639
12 200238
13 195633
14 198227
15 201526
16 201724
17 201421
18 201621
19 201320
20 201317

About Anja Jacobs

Anja Jacobs is a scholar working on Statistics, Probability and Uncertainty, Dermatology, Surgery, Immunology and General Health Professions, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (8 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Dermatology and Skin Diseases (5 papers), Folate and B Vitamins Research (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Reliability and Agreement in Measurement (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Dermatology (182 citations), Statistics, Probability and Uncertainty (155 citations), Immunology (213 citations), Pathology and Forensic Medicine (101 citations) and Health Informatics (5 citations). Anja Jacobs has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Alexander Nast, Stefanie Rosumeck, Ricardo Niklas Werner, Uta Wegewitz, Dawid Pieper, Robert C. Lorenz, Olesja Rissling, Katja Matthias, Johannes Morche and Marc Nocon. Their work appears in journals such as British Journal of Dermatology, Journal of the European Academy of Dermatology and Venereology, BMC Medical Research Methodology, Journal of Clinical Epidemiology and Systematic Reviews.

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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