Anja Jacobs

2.2k citations
39 papers · 978 indexed · h-index 19

Anja Jacobs

38 papers receiving 952 citations

Peers

Anja Jacobs
Comparison fields: 5 of 120
  • Dermatology 243
  • Statistics, Probability and Uncertainty 174
  • Immunology 224
  • Pathology and Forensic Medicine 117
  • Health Informatics 8
Replace Nicole Li with:
Nicole Li United States
Enrico Compalati Italy
Heather L. Blackmore United Kingdom
John R Ingram United Kingdom
Tea Reljic United States
Tarek Nayfeh United States
Puja Khanna United States
Andja Ćirković Serbia
I K Crombie United Kingdom
Neil Johnson New Zealand
Anja Jacobs relative to Nicole Li United States Nicole Li's profile →
Citations per field
00.5×9.7×
Nicole Li · 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-authorship network

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
#Work
1 20241
2 20225
3 202041
4 20203
5 20206
6 202047
7 2019127
8 20189
9 201722
10 201310
11 201316
12 201356
13 20125
14 201039
15 200233
16 19921
17 199214
18 19905
19 19874
20 198647

About Anja Jacobs

Anja Jacobs is a scholar working on Statistics, Probability and Uncertainty, Dermatology, Family Practice, Pharmacy and Immunology, having authored 39 papers that have together received 978 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (9 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Dermatology and Skin Diseases (6 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Delphi Technique in Research (4 papers), Reliability and Agreement in Measurement (4 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Dermatology (243 citations), Statistics, Probability and Uncertainty (174 citations), Immunology (224 citations), Pathology and Forensic Medicine (117 citations) and Health Informatics (8 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, Katja Matthias, Robert C. Lorenz, Olesja Rissling, Johannes Morche and Marc Nocon. Their work appears in journals such as Journal of the European Academy of Dermatology and Venereology, British Journal of Dermatology, BMC Medical Research Methodology, Journal of Investigative Dermatology and Journal of Clinical Epidemiology.

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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