Ditte Møller Ejegod

1.2k citations
41 papers · 892 · h-index 21

Impact in

    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
    • Reproductive tract infections research

Papers in

    • Cervical Cancer and HPV Research 36
    • Hepatitis B Virus Studies 7
    • Molecular Biology Techniques and Applications 10

Ditte Møller Ejegod

41 papers receiving 877 citations

Peers

Ditte Møller Ejegod
Comparison fields: 5 of 42
  • Epidemiology 824
  • Microbiology 98
  • Obstetrics and Gynecology 29
  • Oncology 91
  • Molecular Biology 218
Replace Tor Molden with:
Tor Molden Norway
Roger Dachez France
Stuart Liddle United Kingdom
Marie Masure France
Severien Van Keer Belgium
Julie McCarthy Ireland
Rolando Herrero United States
Maaike G. Dijkstra Netherlands
S. Menton Germany
Anja Oštrbenk Slovenia
Ditte Møller Ejegod relative to Tor Molden Norway Tor Molden's profile →
Citations per field
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Tor Molden · 1×
Citations per year

Countries citing papers authored by Ditte Møller Ejegod

Since Specialization
Citations

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

Fields of papers citing papers by Ditte Møller Ejegod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ditte Møller Ejegod. 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 Ditte Møller Ejegod. The network helps show where Ditte Møller Ejegod may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 201456
3 201347
4 201746
5 201445
6 202041
7 201641
8 201835
9 201633
10 201333
11 201630
12 201928
13 201828
14 201927
15 201427
16 201625
17 201524
18 201623
19 201721
20 202220

About Ditte Møller Ejegod

Ditte Møller Ejegod is a scholar working on Epidemiology, Molecular Biology, Microbiology, Oncology and Surgery, having authored 41 papers that have together received 892 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (36 papers), Molecular Biology Techniques and Applications (10 papers), Hepatitis B Virus Studies (7 papers), Global Cancer Incidence and Screening (6 papers), Reproductive tract infections research (5 papers), Genital Health and Disease (4 papers), T-cell and B-cell Immunology (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Epidemiology (824 citations), Microbiology (98 citations), Obstetrics and Gynecology (29 citations), Oncology (91 citations) and Molecular Biology (218 citations). Ditte Møller Ejegod has collaborated with scholars based in Denmark, Netherlands and Belgium. Frequent co-authors include Jesper Bonde, Matejka Rebolj, Elsebeth Lynge, Carsten Rygaard, Sarah Preisler, Helle Pedersen, Fabio Bottari, Maria Teresa Sandri, Wim Quint and Kate Cuschieri. Their work appears in journals such as Journal of Clinical Microbiology, International Journal of Cancer, Journal of Clinical Virology, BMC Cancer and PLoS ONE.

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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