Anne‐Katrin Emde

4.7k citations
19 papers · 1.1k indexed · h-index 14

Impact in

Papers in

    • Cancer Genomics and Diagnostics 7
    • Genomics and Rare Diseases 4
    • Genetic Associations and Epidemiology 2

Anne‐Katrin Emde

18 papers receiving 1.1k citations

Peers

Anne‐Katrin Emde
Comparison fields: 5 of 97
  • Cancer Research 389
  • Hepatology 131
  • Aging 21
  • Pathology and Forensic Medicine 191
  • Oncology 271
Replace Fábio Pittella Silva with:
Fábio Pittella Silva Brazil
Morten P. Oksvold Norway
A Peng China
Alexander Krasnitz United States
Mariangela Russo Italy
Roel Janssen Netherlands
Markus Rechsteiner Switzerland
Heike Varnholt United States
Lynne D. Berry United States
Simon Brunner Austria
Anne‐Katrin Emde relative to Fábio Pittella Silva Brazil Fábio Pittella Silva's profile →
Citations per field
00.5×5.5×
Fábio Pittella Silva · 1×
Citations per year

Countries citing papers authored by Anne‐Katrin Emde

Since Specialization
Citations

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

Fields of papers citing papers by Anne‐Katrin Emde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Katrin Emde. 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 Anne‐Katrin Emde. The network helps show where Anne‐Katrin Emde may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 20240
2 20214
3 201977
4 20191
5 201862
6 201810
7 2014327
8 201451
9 201414
10 2014260
11 201435
12 201239
13 201154
14 2009103
15 200930
16 200922
17 20081
18 200836
19 200622

About Anne‐Katrin Emde

Anne‐Katrin Emde is a scholar working on Cancer Research, Genetics, Molecular Biology, Hematology and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Cancer Genomics and Diagnostics (7 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Rare Diseases (4 papers), Genetic factors in colorectal cancer (3 papers), Algorithms and Data Compression (3 papers), Genetic Associations and Epidemiology (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (389 citations), Hepatology (131 citations), Aging (21 citations), Pathology and Forensic Medicine (191 citations) and Oncology (271 citations). Anne‐Katrin Emde has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Knut Reinert, David Weese, Vladimir Vacic, Andreas Gogol‐Döring, Tobias Rausch, Nicolas Robine, Søren Germer, Caroline E. Gleason, Rachel Chiaroni-Clarke and Joshua N. Honeyman. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Human Genetics and Genomics Advances, BMC Genomics and Science.

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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