C. Ekerfelt

1.0k citations
33 papers · 818 · h-index 18

Impact in

    • Vector-borne infectious diseases
  • Immunology top 10%
    • Reproductive System and Pregnancy
    • Immunotherapy and Immune Responses

Papers in

C. Ekerfelt

33 papers receiving 775 citations

Peers

C. Ekerfelt
Comparison fields: 5 of 75
  • Parasitology 342
  • Immunology 341
  • Infectious Diseases 281
  • Obstetrics and Gynecology 88
  • Reproductive Medicine 48
Replace H. D. Attwood with:
H. D. Attwood Australia
R. La Torre Italy
Mary Anne Opavsky Canada
Yoshiki Eto Japan
M.‐A. Shaw United Kingdom
E. K. Kristoffersen Norway
L Giannarini Italy
Leigh Ann Jones United Kingdom
Elena Pinter Italy
S K Tyring United States
C. Ekerfelt relative to H. D. Attwood Australia H. D. Attwood's profile →
Citations per field
00.5×5.3×
H. D. Attwood · 1×
Citations per year

Countries citing papers authored by C. Ekerfelt

Since Specialization
Citations

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

Fields of papers citing papers by C. Ekerfelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003114
2 199764
3
IgG subclasses in Lyme borreliosis: a study of specific IgG subclass distribution in an interferon-gamma-predominated disease.
199855
4 199554
5 200552
6 200541
7 200234
8 200434
9 200634
10 199932
11 201231
12 200229
13 200428
14 200122
15 200621
16 201017
17 200317
18 200317
19 199716
20 199815

About C. Ekerfelt

C. Ekerfelt is a scholar working on Parasitology, Infectious Diseases, Immunology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 818 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (15 papers), Viral Infections and Vectors (13 papers), Multiple Sclerosis Research Studies (7 papers), Reproductive System and Pregnancy (6 papers), Peripheral Neuropathies and Disorders (6 papers), Vector-Borne Animal Diseases (4 papers), Leptospirosis research and findings (3 papers) and Endometriosis Research and Treatment (3 papers). The work is most often cited by research in Parasitology (342 citations), Immunology (341 citations), Infectious Diseases (281 citations), Obstetrics and Gynecology (88 citations) and Reproductive Medicine (48 citations). C. Ekerfelt has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Jan Ernerudh, P. Forsberg, Sven Bergström, Magnus Vrethem, Leif Matthiesen, Göran Berg, Mona Widhe, Marika Kvarnström, Surendra Sharma and Maria C. Jenmalm. Their work appears in journals such as Clinical & Experimental Immunology, Journal of Neuroimmunology, Journal of Reproductive Immunology, Apmis and American Journal of Reproductive Immunology.

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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