Lea Hedman

44 papers receiving 1.7k citations

Peers

Lea Hedman
Comparison fields: 5 of 75
  • Infectious Diseases 1.2k
  • Dermatology 360
  • Epidemiology 866
  • Animal Science and Zoology 176
  • Oncology 282
Replace Anna‐Maria Eis‐Hübinger with:
Anna‐Maria Eis‐Hübinger Germany
A Hornsleth Denmark
Erik D. Heegaard Denmark
Nicola S. Brink United Kingdom
Marialuisa Zerbini Italy
Therese Popow‐Kraupp Austria
Takehiko Yazaki Japan
Yo Hoshino Japan
Yoshizo Asano Japan
Colin Sharp United Kingdom
Lea Hedman relative to Anna‐Maria Eis‐Hübinger Germany Anna‐Maria Eis‐Hübinger's profile →
Citations per field
00.5×10.5×
Anna‐Maria Eis‐Hübinger · 1×
Citations per year

Countries citing papers authored by Lea Hedman

Since Specialization
Citations

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

Fields of papers citing papers by Lea Hedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009164
2 2008133
3 1995108
4 1998102
5 2011101
6 201098
7 201287
8 199970
9 200568
10 200967
11 200757
12 201052
13 200848
14 200739
15 201737
16 201536
17 201436
18 201436
19 201535
20 201033

About Lea Hedman

Lea Hedman is a scholar working on Dermatology, Infectious Diseases, Epidemiology, Parasitology and Pediatrics, Perinatology and Child Health, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (30 papers), Dermatological and COVID-19 studies (16 papers), Respiratory viral infections research (12 papers), Prenatal Screening and Diagnostics (6 papers), Cytomegalovirus and herpesvirus research (6 papers), Polyomavirus and related diseases (6 papers), Full-Duplex Wireless Communications (4 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Dermatology (360 citations), Epidemiology (866 citations), Animal Science and Zoology (176 citations) and Oncology (282 citations). Lea Hedman has collaborated with scholars based in Finland, Austria and United States. Frequent co-authors include Klaus Hedman, Maria Söderlund‐Venermo, Olli Ruuskanen, Tuomas Jartti, Kalle Kantola, Tobias Allander, Pasi Lehtinen, Anne Lahtinen, Tingting Chen and Colin Brown. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Clinical Virology, Emerging infectious diseases, Journal of Clinical Microbiology and Journal of Medical Virology.

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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