Lada Hofmannová

39 total papers · 745 total citations
33 papers, 500 citations indexed

About

Lada Hofmannová is a scholar working on Parasitology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Lada Hofmannová has authored 33 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Parasitology, 17 papers in Infectious Diseases and 13 papers in Animal Science and Zoology. Recurrent topics in Lada Hofmannová's work include Parasitic Infections and Diagnostics (17 papers), Coccidia and coccidiosis research (13 papers) and Helminth infection and control (9 papers). Lada Hofmannová is often cited by papers focused on Parasitic Infections and Diagnostics (17 papers), Coccidia and coccidiosis research (13 papers) and Helminth infection and control (9 papers). Lada Hofmannová collaborates with scholars based in Czechia, United States and Italy. Lada Hofmannová's co-authors include Martin Kváč, David Modrý, Bohumil Sak, Dana Květoňová, John McEvoy, Lenka Hlásková, J Vítovec, Andrea Bardůnek Valigurová, Břetislav Koudela and Jiří Vávra and has published in prestigious journals such as International Journal for Parasitology, Microbial Ecology and Veterinary Parasitology.

In The Last Decade

Lada Hofmannová

33 papers receiving 493 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lada Hofmannová	397	298	91	63	54	33	500
Alice J. Murphy	336 0.8×	279 0.9×	64 0.7×	38 0.6×	39 0.7×	31	606
Giovanni Sgroi	378 1.0×	290 1.0×	50 0.5×	62 1.0×	36 0.7×	55	542
Armağan Erdem Ütük	349 0.9×	171 0.6×	42 0.5×	100 1.6×	59 1.1×	50	526
P Beelitz	478 1.2×	363 1.2×	41 0.5×	52 0.8×	82 1.5×	28	569
F.-R. Matuschka	524 1.3×	240 0.8×	64 0.7×	70 1.1×	33 0.6×	35	616
Domenico Vicari	132 0.3×	181 0.6×	72 0.8×	61 1.0×	45 0.8×	52	499
Qing‐Long Gong	208 0.5×	197 0.7×	81 0.9×	47 0.7×	94 1.7×	37	493
M.R. Cranfield	358 0.9×	201 0.7×	43 0.5×	89 1.4×	27 0.5×	13	507
Ananda Müller	363 0.9×	250 0.8×	33 0.4×	82 1.3×	54 1.0×	44	497
Raimundo Souza Lopes	299 0.8×	189 0.6×	49 0.5×	24 0.4×	82 1.5×	38	501

Countries citing papers authored by Lada Hofmannová

Since Specialization

Citations

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

Fields of papers citing papers by Lada Hofmannová

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lada Hofmannová

This figure shows the co-authorship network connecting the top 25 collaborators of Lada Hofmannová. A scholar is included among the top collaborators of Lada Hofmannová 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 Lada Hofmannová. Lada Hofmannová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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