Johan Lindh

1.3k total citations
38 papers, 1.1k citations indexed

About

Johan Lindh is a scholar working on Parasitology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Johan Lindh has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Parasitology, 18 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Johan Lindh's work include Parasitic Infections and Diagnostics (17 papers), Toxoplasma gondii Research Studies (9 papers) and Amoebic Infections and Treatments (9 papers). Johan Lindh is often cited by papers focused on Parasitic Infections and Diagnostics (17 papers), Toxoplasma gondii Research Studies (9 papers) and Amoebic Infections and Treatments (9 papers). Johan Lindh collaborates with scholars based in Sweden, United Kingdom and Mozambique. Johan Lindh's co-authors include Micael Widerström, Mikael Lilja, Marianne Lebbad, Deogratias H Kaddu-Mulindwa, Fred Kironde, Anders Wallensten, Daniel Palm, Benjamin Edvinsson, Johan Ankarklev and Tara Wahab and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Genome biology.

In The Last Decade

Johan Lindh

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Johan Lindh Sweden 18 783 379 334 105 103 38 1.1k
Sema Ertuğ Türkiye 15 715 0.9× 289 0.8× 161 0.5× 97 0.9× 159 1.5× 79 1.0k
Ivana Klun Serbia 19 753 1.0× 141 0.4× 387 1.2× 66 0.6× 110 1.1× 51 912
M Rohela Malaysia 16 472 0.6× 281 0.7× 165 0.5× 55 0.5× 172 1.7× 48 835
Hamidreza Majidiani Iran 19 794 1.0× 200 0.5× 283 0.8× 296 2.8× 185 1.8× 73 1.2k
Federica Giardina Netherlands 14 528 0.7× 336 0.9× 260 0.8× 68 0.6× 189 1.8× 31 1.1k
Hamed Behniafar Iran 13 585 0.7× 123 0.3× 209 0.6× 194 1.8× 157 1.5× 39 834
A. Khairul Anuar Malaysia 17 497 0.6× 296 0.8× 143 0.4× 51 0.5× 91 0.9× 44 787
K. Janitschke Germany 19 777 1.0× 187 0.5× 471 1.4× 120 1.1× 130 1.3× 85 1.1k
Ahmad Reza Meamar Iran 22 1.0k 1.3× 506 1.3× 228 0.7× 73 0.7× 242 2.3× 68 1.4k
Kua‐Eyre Su Taiwan 15 481 0.6× 220 0.6× 101 0.3× 42 0.4× 97 0.9× 34 627

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-authorship network of co-authors of Johan Lindh

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Lindh. A scholar is included among the top collaborators of Johan Lindh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johan Lindh. Johan Lindh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Palanisamy, Navaneethan, Paula Mölling, Johan Lindh, et al.. (2023). Prevalence of SARS-CoV-2 Omicron Sublineages and Spike Protein Mutations Conferring Resistance against Monoclonal Antibodies in a Swedish Cohort during 2022–2023. Microorganisms. 11(10). 2417–2417. 3 indexed citations
3.
Lindh, Johan, et al.. (2019). Prevalence of Giardia and Cryptosporidium in young livestock and dogs in Magude District of Maputo Province, Mozambique. Onderstepoort Journal of Veterinary Research. 86(1). e1–e6. 9 indexed citations
4.
Noormahomed, Emília Virgínia, et al.. (2019). Further evaluation of recombinant Tsol-p27 by enzyme-linked immunoelectrotransfer blot for the serodiagnosis of cysticercosis in pigs from Mozambique. Parasites & Vectors. 12(1). 564–564. 4 indexed citations
5.
Lebbad, Marianne, et al.. (2018). Occurrence of Cryptosporidium spp. and Cystoisospora belli among adult patients with diarrhoea in Maputo, Mozambique. Heliyon. 4(9). e00769–e00769. 23 indexed citations
6.
Bjelkmar, Pär, Anette Tarp Hansen, Caroline Schönning, et al.. (2017). Early outbreak detection by linking health advice line calls to water distribution areas retrospectively demonstrated in a large waterborne outbreak of cryptosporidiosis in Sweden. BMC Public Health. 17(1). 328–328. 25 indexed citations
7.
Widerström, Micael, et al.. (2017). Symptoms and risk factors of Cryptosporidium hominis infection in children: data from a large waterborne outbreak in Sweden. Parasitology Research. 116(10). 2613–2618. 28 indexed citations
8.
Noormahomed, Emília Virgínia, et al.. (2015). Performance of Tsol-p27 antigen for the serological diagnosis of cysticercosis in Mozambique. Journal of Helminthology. 90(5). 630–633. 7 indexed citations
9.
Noormahomed, Emília Virgínia, et al.. (2013). Further characterization of Tsol-p27 as a diagnostic antigen in sub-Saharan Africa. Experimental Parasitology. 135(3). 573–579. 5 indexed citations
10.
Andersson, Tom, Pär Bjelkmar, Anette Hulth, et al.. (2013). Syndromic surveillance for local outbreak detection and awareness: evaluating outbreak signals of acute gastroenteritis in telephone triage, web-based queries and over-the-counter pharmacy sales. Epidemiology and Infection. 142(2). 303–313. 44 indexed citations
11.
Ankarklev, Johan, Marianne Lebbad, Johan Lindh, et al.. (2012). Common Coinfections of Giardia intestinalis and Helicobacter pylori in Non-Symptomatic Ugandan Children. PLoS neglected tropical diseases. 6(8). e1780–e1780. 80 indexed citations
12.
Sherwood, Ellen, et al.. (2010). Analyses of an Expressed Sequence Tag Library from Taenia solium, Cysticerca. PLoS neglected tropical diseases. 4(12). e919–e919. 14 indexed citations
13.
Yin, Jigang, Ning Jiang, Xiang Mei, et al.. (2010). Seroepidemiology of human Toxoplasma gondii infection in China. BMC Infectious Diseases. 10(1). 4–4. 109 indexed citations
14.
Bontell, Irene, Neil Hall, Kevin E. Ashelford, et al.. (2009). Whole genome sequencing of a natural recombinant Toxoplasma gondiistrain reveals chromosome sorting and local allelic variants. Genome biology. 10(5). R53–R53. 42 indexed citations
15.
Yin, Jigang, et al.. (2008). A sero-epidemiological survey of Toxoplasma gondii infection in free-range and caged chickens in northeast China. Veterinary Parasitology. 158(4). 360–363. 42 indexed citations
16.
Sundar, N., Johan Lindh, Fred Kironde, et al.. (2007). Isolation and genotyping ofToxoplasma gondiifrom Ugandan chickens reveals frequent multiple infections. Parasitology. 135(1). 39–45. 57 indexed citations
17.
Botero-Kleiven, Silvia, Víctor Manuel Fernández, Johan Lindh, et al.. (2001). Receptor-Mediated Endocytosis in an Apicomplexan Parasite (Toxoplasma gondii). Experimental Parasitology. 98(3). 134–144. 22 indexed citations
18.
Lindh, Johan, et al.. (2001). A protease inhibitor associated with the surface of Toxoplasma gondii. Molecular and Biochemical Parasitology. 116(2). 137–145. 8 indexed citations
19.
Lindh, Johan, et al.. (1999). Trichinella spp.: Differential Expression of Two Genes in the Muscle Larva of Encapsulating and Nonencapsulating Species. Experimental Parasitology. 93(3). 153–159. 14 indexed citations
20.

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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