Johan Lindh

1.4k citations
38 papers · 1.1k · h-index 18

Impact in

  • Parasitology top 0.5%
    • Parasitic Infections and Diagnostics
    • Toxoplasma gondii Research Studies
    • Amoebic Infections and Treatments
    • Viral gastroenteritis research and epidemiology

Papers in

    • Parasitic Infections and Diagnostics 14
    • Toxoplasma gondii Research Studies 9
    • Amoebic Infections and Treatments 5
    • SARS-CoV-2 and COVID-19 Research 4

Johan Lindh

37 papers receiving 1.1k citations

Peers

Johan Lindh
Comparison fields: 5 of 84
  • Parasitology 765
  • Infectious Diseases 316
  • Virology 71
  • Epidemiology 290
  • Pathology and Forensic Medicine 92
Replace Iaci N. S. Moura with:
Iaci N. S. Moura United States
Ahmad Reza Meamar Iran
Myriam Consuelo López Colombia
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Furio Spano Italy
Isao Kimata Japan
Elham Razmjou Iran
Aongart Mahittikorn Thailand
Motohiro Iseki Japan
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Citations per field
00.5×4.3×
Iaci N. S. Moura · 1×
Citations per year

Countries citing papers authored by Johan Lindh

Since Specialization
Citations

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

Fields of papers citing papers by Johan Lindh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014143
2 2010110
3 201282
4 200972
5 200671
6 200757
7 201550
8 200946
9 201345
10 200842
11 200942
12 201532
13 201730
14 201229
15 201727
16 201823
17 200122
18 201118
19 201815
20 199914

About Johan Lindh

Johan Lindh is a scholar working on Parasitology, Infectious Diseases, Epidemiology, Pathology and Forensic Medicine and Molecular Biology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (14 papers), Toxoplasma gondii Research Studies (9 papers), Parasitic infections in humans and animals (8 papers), Herpesvirus Infections and Treatments (5 papers), Amoebic Infections and Treatments (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Parasite Biology and Host Interactions (3 papers) and Child Nutrition and Water Access (2 papers). The work is most often cited by research in Parasitology (765 citations), Infectious Diseases (316 citations), Virology (71 citations), Epidemiology (290 citations) and Pathology and Forensic Medicine (92 citations). Johan Lindh has collaborated with scholars based in Sweden, United Kingdom and Mozambique. Frequent co-authors include Micael Widerström, Mikael Lilja, Marianne Lebbad, Deogratias H Kaddu-Mulindwa, Fred Kironde, Benjamin Edvinsson, Johan Ankarklev, Daniel Palm, Tara Wahab and Anders Wallensten. Their work appears in journals such as Experimental Parasitology, Parasitology Research, PLoS neglected tropical diseases, BMC Public Health and Epidemiology and Infection.

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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