J. Kazda

753 citations
35 papers · 483 · h-index 14

Impact in

Papers in

J. Kazda

32 papers receiving 432 citations

Peers

J. Kazda
Comparison fields: 5 of 63
  • Microbiology 20
  • Small Animals 122
  • Infectious Diseases 223
  • Epidemiology 362
  • Endocrinology 16
Replace Yeo-Jun Yun with:
Yeo-Jun Yun South Korea
E. Gezuele Uruguay
Jerald L. Jarnagin United States
Karim Chemlal Belgium
Koen Vandelannoote Belgium
Gerard Osterhout United States
Estelle Marion France
T. Eaton United States
Jean-Paul Saint André France
Gurpreet Sandhu United States
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Citations per field
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Citations per year

Countries citing papers authored by J. Kazda

Since Specialization
Citations

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

Fields of papers citing papers by J. Kazda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199283
2 200977
3 199026
4 199325
5 199224
6
[Conditionally pathogenic mycobacteria in the environment and their effect on living organisms].
199722
7 200020
8
Molecular-genetic evidence for the relationship of Mycobacterium leprae to slow-growing pathogenic mycobacteria.
198819
9
Isolation of environment-derived Mycobacterium leprae from soil in Bombay.
198619
10 197918
11 199316
12
Acid-fast bacilli found in sphagnum vegetation of coastal Norway containing Mycobacterium leprae-specific phenolic glycolipid-I.
199015
13
Isolation of non-cultivable acid-fast bacilli in sphagnum and moss vegetation by foot pad technique in mice.
198015
14 198914
15 198812
16 199210
17
The importance of water for the spread of potentially pathogenic mycobacteria. I. Possibilities for the multiplication of mycobacteria.
19738
18 19808
19 19818
20 19817

About J. Kazda

J. Kazda is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Small Animals and Pharmacology, having authored 35 papers that have together received 483 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (31 papers), Leprosy Research and Treatment (8 papers), Tuberculosis Research and Epidemiology (6 papers), Fungal Biology and Applications (3 papers), Gut microbiota and health (3 papers), Infectious Diseases and Mycology (3 papers), Quinazolinone synthesis and applications (2 papers) and Ginseng Biological Effects and Applications (2 papers). The work is most often cited by research in Microbiology (20 citations), Small Animals (122 citations), Infectious Diseases (223 citations), Epidemiology (362 citations) and Endocrinology (16 citations). J. Kazda has collaborated with scholars based in Germany, Australia and Norway. Frequent co-authors include Erko Stackebrandt, K. Müller, I. Pavlík, Christian Pitulle, Joseph O. Falkinham, M. Dorsch, K. Hruška, Lorentz M. Irgens, J. Wolters and Jan Smida. Their work appears in journals such as Infection and Immunity, New Zealand Veterinary Journal, Leprosy Review, PubMed and Acta Pathologica Microbiologica Scandinavica Section B Microbiology.

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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