Anja Kafka

756 total citations
24 papers, 536 citations indexed

About

Anja Kafka is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Anja Kafka has authored 24 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Neurology. Recurrent topics in Anja Kafka's work include Wnt/β-catenin signaling in development and cancer (10 papers), Meningioma and schwannoma management (6 papers) and Cancer-related gene regulation (6 papers). Anja Kafka is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (10 papers), Meningioma and schwannoma management (6 papers) and Cancer-related gene regulation (6 papers). Anja Kafka collaborates with scholars based in Croatia, United States and Denmark. Anja Kafka's co-authors include Nives Pećina‐Šlaus, Anja Bukovac, Iva Salamon, Davor Tomas, Sandra Bašić‐Kinda, Mirna Lechpammer, Petar Brlek, Hrvoje Ivan Pećina, Reno Hrašćan and Goran Mrak and has published in prestigious journals such as International Journal of Molecular Sciences, Cancers and Journal of Cellular and Molecular Medicine.

In The Last Decade

Anja Kafka

24 papers receiving 523 citations

Peers

Anja Kafka
Comparison fields: 5 of 67
  • Molecular Biology 315
  • Cancer Research 125
  • Oncology 120
  • Epidemiology 90
  • Genetics 82
Replace Peter Roerig with:
Peter Roerig Germany
Lin Tu China
John M. Krill-Burger United States
Vikash Bhagwandin United States
Ralitsa R. Madsen United Kingdom
Yasumichi Kuwahara Japan
Craig Harlos Canada
Kristen D. Hadfield United Kingdom
Eftychia Oikonomou Greece
Peter Roerig Germany View profile →
Citations per field, relative to Anja Kafka
Anja Kafka · 1×
Citations per year, relative to Anja Kafka
Anja Kafka · 1×

Countries citing papers authored by Anja Kafka

Since Specialization
Citations

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

Fields of papers citing papers by Anja Kafka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Kafka

This figure shows the co-authorship network connecting the top 25 collaborators of Anja Kafka. A scholar is included among the top collaborators of Anja Kafka 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 Anja Kafka. Anja Kafka 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 25
2 2
3 27
4 15
5 2
6 17
7 165
8 11
9 17
10 10
11 5
12 10
13 15
14 10
15 12
16
Optimal amplification conditions for D16S3399 polymorphic STS axin-1 gene marker
1
17 45
18 8
19 23
20 42

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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