Michelle Haas

677 total citations
30 papers, 403 citations indexed

About

Michelle Haas is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Michelle Haas has authored 30 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 17 papers in Infectious Diseases and 7 papers in Surgery. Recurrent topics in Michelle Haas's work include Tuberculosis Research and Epidemiology (13 papers), Pneumocystis jirovecii pneumonia detection and treatment (9 papers) and Mycobacterium research and diagnosis (6 papers). Michelle Haas is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Pneumocystis jirovecii pneumonia detection and treatment (9 papers) and Mycobacterium research and diagnosis (6 papers). Michelle Haas collaborates with scholars based in United States, Botswana and Germany. Michelle Haas's co-authors include Robert Belknap, William J. Burman, Bryan Knepper, Timothy C Jenkins, Philip S. Mehler, David N. Levy, Elizabeth Connick, Joy M. Folkvord, Samantha MaWhinney and Thomas Campbell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Journal of Virology.

In The Last Decade

Michelle Haas

27 papers receiving 394 citations

Peers

Michelle Haas
Comparison fields: 5 of 80
  • Infectious Diseases 174
  • Epidemiology 161
  • Applied Microbiology and Biotechnology 79
  • Immunology 71
  • Surgery 64
Replace Eilish McCann with:
Eilish McCann United States
Juan Carlos Cataño Colombia
Cecilia Martín‐Gandul Spain
Stefan Erb Switzerland
Cristina Roca-Oporto Spain
Michael Buettcher Switzerland
Marco Libanore Italy
Giovanni Cassola Italy
M C Fariñas Spain
Spyridon Karageorgos Greece
Eilish McCann United States View profile →
Citations per field, relative to Michelle Haas
Michelle Haas · 1×
Citations per year, relative to Michelle Haas
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Countries citing papers authored by Michelle Haas

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Haas. A scholar is included among the top collaborators of Michelle 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 Michelle Haas. Michelle 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
# Work Indexed citations
1 11
2 0
3 2
4 0
5 11
6 8
7 49
8 2
9 16
10 10
11 32
12 45
13 4
14 4
15 13
16 1
17 6
18 13
19 11
20 10

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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