H. Haas

416 citations
21 papers · 338 indexed · h-index 10
Topics
Mycobacterium research and diagnosis (12 papers)Tuberculosis Research and Epidemiology (5 papers)Infectious Diseases and Tuberculosis (3 papers)

In The Last Decade

H. Haas

21 papers receiving 309 citations

Peers

H. Haas
Comparison fields: 5 of 66
  • Epidemiology 140
  • Microbiology 130
  • Molecular Biology 123
  • Infectious Diseases 67
  • Ecology 39
Replace R. W. Sweeney with:
R. W. Sweeney United States
Jerald L. Jarnagin United States
E. Klieneberger‐Nobel United Kingdom
Kiyoto Akama Armenia
Leif Oddvar Frøholm Norway
Soledad R. Ordoñez Netherlands
Geraldine L. Wiggins United States
P. Pease United Kingdom
H. R. Carne United Kingdom
Latha Ragunathan India
H. Haas relative to R. W. Sweeney United States R. W. Sweeney's profile →
Citations per field
00.5×2.8×
R. W. Sweeney · 1×
Citations per year

Countries citing papers authored by H. Haas

Since Specialization
Citations

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

Fields of papers citing papers by H. Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Haas

This figure shows the co-authorship network connecting the top 25 collaborators of H. Haas. A scholar is included among the top collaborators of H. Haas 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 H. Haas. H. Haas 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
#WorkIndexed citations
1 17
2 7
3 117
4 6
5 7
6
Disseminated mycobacterial disease caused by Mycobacterium szulgai.
31
7 19
8 1
9 20
10
Isolation of mycoplasmas from the genital tract of women with reproductive failure, sterility or vaginitis.
3
11 4
12 28
13 17
14 22
15 8
16 7
17
Polyacrylamide-gel electrophoresis of cell proteins of Enterobacteriaceae. A possible taxonomic aid.
9
18 1
19 4
20
Isolation of atypical mycobacteria from human sources and the effect of cortisone on their pathogenicity in mice.
1

About H. Haas

H. Haas is a scholar working on Microbiology, Applied Microbiology and Biotechnology and Epidemiology, having authored 21 papers that have together received 338 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (12 papers), Tuberculosis Research and Epidemiology (5 papers) and Infectious Diseases and Tuberculosis (3 papers). The work is most often cited by research in Microbiology (130 citations), Small Animals (37 citations) and Parasitology (27 citations). H. Haas has collaborated with scholars based in Israel, Germany and United Kingdom. Frequent co-authors include T. Sacks, Itamar Shalit, Roberto Bessalle, Mati Fridkin, J. Michel, E. Rosenmann, Z. Even‐Paz, Shlomo Porat, Yaakov Naparstek and M Eliakim. Their work appears in journals such as Water Research, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

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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