Jan Madacki

671 citations
14 papers · 486 indexed · 1 hit paper · h-index 11
Topics
Tuberculosis Research and Epidemiology (11 papers)Mycobacterium research and diagnosis (6 papers)Cancer therapeutics and mechanisms (3 papers)
Partner nations
FranceSlovakiaItaly

In The Last Decade

Jan Madacki

14 papers receiving 479 citations

Hit Papers

Evolution and emergence ofMycobacterium tuberculosis2024202620252024102030

Peers

Jan Madacki
Comparison fields: 5 of 59
  • Infectious Diseases 288
  • Molecular Biology 210
  • Epidemiology 186
  • Organic Chemistry 165
  • Computational Theory and Mathematics 41
Replace Suresh B. Lakshminarayana with:
Suresh B. Lakshminarayana Singapore
Mai A. Bailey United States
H. M. Adnan Hameed China
Chiranjibi Chhotaray China
Tamara Hess United States
O. B. Ryabova Russia
Lisa K. Woolhiser United States
Jozef Stec United States
Torey Alling United States
Manju Yasoda Krishnan India
Jan Madacki relative to Suresh B. Lakshminarayana Singapore Suresh B. Lakshminarayana's profile →
Citations per field
00.5×1.5×2.2×
Suresh B. Lakshminarayana · 1×
Citations per year

Countries citing papers authored by Jan Madacki

Since Specialization
Citations

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

Fields of papers citing papers by Jan Madacki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Madacki

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2
Evolution and emergence ofMycobacterium tuberculosisbreakdown →
38
3 5
4 6
5 15
6 37
7 20
8 14
9 92
10 73
11 35
12 47
13 17
14 86

About Jan Madacki

Jan Madacki is a scholar working on Infectious Diseases, Toxicology and Epidemiology, having authored 14 papers that have together received 486 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (6 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Infectious Diseases (288 citations), Molecular Medicine (41 citations) and Organic Chemistry (165 citations). Jan Madacki has collaborated with scholars based in France, Slovakia and Italy. Frequent co-authors include Jana Korduláková, Roland Brosch, Mickael Orgeur, Giorgia Mori, Maria Rosalia Pasca, Michel Baltas, Christian Lherbet, Roberta Provvedi, Giulia Degiacomi and Francesca Boldrin. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports and International Journal of Molecular Sciences.

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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