Miriam Elfström

534 citations
23 papers · 319 · h-index 10

Impact in

Papers in

    • Cervical Cancer and HPV Research 17
    • Hepatitis B Virus Studies 2
    • Global Cancer Incidence and Screening 7
    • COVID-19 and healthcare impacts 2
    • Colorectal Cancer Screening and Detection 2

Miriam Elfström

22 papers receiving 317 citations

Peers

Miriam Elfström
Comparison fields: 5 of 36
  • Epidemiology 248
  • Obstetrics and Gynecology 29
  • Microbiology 22
  • Oncology 82
  • Modeling and Simulation 5
Replace Marina Y. S. Maeda with:
Marina Y. S. Maeda Brazil
Olayinka Olaniyan Nigeria
Pulikkottil Okkuru Esmy India
Mark Faesen South Africa
Kirsten Egebjerg Jensen Denmark
Amparo Elena Gordillo-Tobar United States
A Lörincz United States
Renata Clementino Gontijo Brazil
Kine Pedersen Norway
Heather Pedersen Canada
Miriam Elfström relative to Marina Y. S. Maeda Brazil Marina Y. S. Maeda's profile →
Citations per field
00.5×10×16.3×
Marina Y. S. Maeda · 1×
Citations per year

Countries citing papers authored by Miriam Elfström

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Elfström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201498
2 201940
3 201937
4 202319
5 202117
6 201216
7 202416
8 202015
9 202310
10 20239
11 20258
12 20205
13 20205
14 20205
15 20205
16 20214
17 20234
18 20242
19 20241
20 20131

About Miriam Elfström

Miriam Elfström is a scholar working on Epidemiology, Oncology, Microbiology, Infectious Diseases and General Health Professions, having authored 23 papers that have together received 319 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (17 papers), Global Cancer Incidence and Screening (7 papers), Reproductive tract infections research (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Hepatitis B Virus Studies (2 papers), COVID-19 and healthcare impacts (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Epidemiology (248 citations), Obstetrics and Gynecology (29 citations), Microbiology (22 citations), Oncology (82 citations) and Modeling and Simulation (5 citations). Miriam Elfström has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include Joakim Dillner, Carina Eklund, Vitaly Smelov, Anna L.V. Johansson, Lisen Arnheim‐Dahlström, Pontus Nauclér, Penelope Gray, Karin Sundström, Jiangrong Wang and Sara Nordqvist Kleppe. Their work appears in journals such as International Journal of Cancer, The Journal of Infectious Diseases, PLoS Medicine, AIDS Care 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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