Michael Weig

3.5k total citations
68 papers, 2.6k citations indexed

About

Michael Weig is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Michael Weig has authored 68 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Infectious Diseases, 38 papers in Epidemiology and 17 papers in Molecular Biology. Recurrent topics in Michael Weig's work include Antifungal resistance and susceptibility (44 papers), Fungal Infections and Studies (32 papers) and Bacterial Identification and Susceptibility Testing (11 papers). Michael Weig is often cited by papers focused on Antifungal resistance and susceptibility (44 papers), Fungal Infections and Studies (32 papers) and Bacterial Identification and Susceptibility Testing (11 papers). Michael Weig collaborates with scholars based in Germany, United Kingdom and Spain. Michael Weig's co-authors include Oliver Bader, Uwe Groß, Uwe Groß, Piet W. J. de Groot, Raimond Lugert, Albert D. de Boer, Martin Kuhns, Diane Kelly, Josie E. Parker and Steven L. Kelly and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Clinical Microbiology Reviews.

In The Last Decade

Michael Weig

65 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Weig Germany 31 1.8k 1.4k 600 380 360 68 2.6k
Beth A. Arthington‐Skaggs United States 24 2.3k 1.3× 1.7k 1.3× 536 0.9× 270 0.7× 315 0.9× 32 3.1k
Christine J. Morrison United States 26 1.7k 0.9× 1.4k 1.0× 414 0.7× 333 0.9× 548 1.5× 43 2.6k
Marie‐Elisabeth Bougnoux France 26 1.8k 1.0× 1.6k 1.2× 339 0.6× 204 0.5× 410 1.1× 77 2.5k
Erja Chryssanthou Sweden 30 1.7k 0.9× 1.6k 1.2× 316 0.5× 276 0.7× 479 1.3× 71 2.8k
Cheshta Sharma India 25 3.4k 1.9× 2.6k 1.9× 373 0.6× 467 1.2× 645 1.8× 35 3.8k
Hsiu‐Jung Lo Taiwan 30 3.0k 1.6× 2.2k 1.6× 1.1k 1.8× 302 0.8× 321 0.9× 81 3.8k
Alix T. Coste Switzerland 35 3.2k 1.7× 2.1k 1.5× 1.0k 1.7× 602 1.6× 348 1.0× 77 4.5k
J. Kroeger United States 22 1.9k 1.0× 1.1k 0.8× 488 0.8× 146 0.4× 165 0.5× 29 2.3k
Sara Gago United Kingdom 20 2.1k 1.2× 1.7k 1.2× 441 0.7× 312 0.8× 363 1.0× 35 2.9k
Florent Morio France 29 1.6k 0.9× 1.3k 1.0× 307 0.5× 283 0.7× 356 1.0× 98 2.5k

Countries citing papers authored by Michael Weig

Since Specialization
Citations

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

Fields of papers citing papers by Michael Weig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Weig

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Weig. A scholar is included among the top collaborators of Michael Weig 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 Michael Weig. Michael Weig 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
1.
Lugert, Raimond, et al.. (2025). Evaluation of the DiaSorin NxTAG gastrointestinal pathogen panel (GPP) and its integration into routine diagnostics. Diagnostic Microbiology and Infectious Disease. 111(3). 116717–116717.
2.
3.
De-la-Pinta, Iker, Uwe Groß, Michael Weig, et al.. (2021). Candida parapsilosis Colony Morphotype Forecasts Biofilm Formation of Clinical Isolates. Journal of Fungi. 7(1). 33–33. 12 indexed citations
4.
Bader, Oliver, Uwe Groß, Michael Weig, et al.. (2021). Diagnosing SARS-CoV-2 with Antigen Testing, Transcription-Mediated Amplification and Real-Time PCR. Journal of Clinical Medicine. 10(11). 2404–2404. 17 indexed citations
5.
Worasilchai, Navaporn, Christine Bii, Michael Weig, et al.. (2021). CryptoType – Public Datasets for MALDI-TOF-MS Based Differentiation of Cryptococcus neoformans/gattii Complexes. Frontiers in Cellular and Infection Microbiology. 11. 634382–634382. 5 indexed citations
6.
7.
Dudakova, Anna, Birgit Spieß, Marut Tangwattanachuleeporn, et al.. (2017). Molecular Tools for the Detection and Deduction of Azole Antifungal Drug Resistance Phenotypes in Aspergillus Species. Clinical Microbiology Reviews. 30(4). 1065–1091. 84 indexed citations
8.
Schmalz, Gerhard, Otto Kollmar, Jan E. Slotta, et al.. (2017). Oral findings and dental behaviour before and after liver transplantation – a single-centre cross-sectional study. International Dental Journal. 67(4). 244–251. 29 indexed citations
9.
Bader, Oliver, Jana Tünnermann, Anna Dudakova, et al.. (2015). Environmental Isolates of Azole-Resistant Aspergillus fumigatus in Germany. Antimicrobial Agents and Chemotherapy. 59(7). 4356–4359. 80 indexed citations
10.
Boga, Hamadi, et al.. (2015). Susceptibility of Cryptococcus neoformans and Cryptococcus gattii from clinical and environment sources in Nairobi, Kenya. East African Medical Journal. 92(2). 60–66. 1 indexed citations
11.
Bader, Oliver, Alexander Schwarz, Eefje A. Kraneveld, et al.. (2012). Gross Karyotypic and Phenotypic Alterations among Different Progenies of the Candida glabrata CBS138/ATCC2001 Reference Strain. PLoS ONE. 7(12). e52218–e52218. 30 indexed citations
12.
Bader, Oliver, et al.. (2010). Improved clinical laboratory identification of human pathogenic yeasts by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Clinical Microbiology and Infection. 17(9). 1359–1365. 183 indexed citations
13.
Boer, Albert D. de, Piet W. J. de Groot, Günther Weindl, et al.. (2010). The Candida albicans cell wall protein Rhd3/Pga29 is abundant in the yeast form and contributes to virulence. Yeast. 27(8). 611–624. 27 indexed citations
14.
Walker, Janet L., Laura Selway, David Stead, et al.. (2008). Proteomic analysis of the pH response in the fungal pathogen Candida glabrata . PROTEOMICS. 8(3). 534–544. 39 indexed citations
15.
Weig, Michael, et al.. (2005). Analysis of the major proteins secreted by the human opportunistic pathogenAspergillus fumigatusunderin vitroconditions. Medical Mycology. 43(7). 623–630. 42 indexed citations
16.
Schmidt‐Ott, Ruprecht, et al.. (2004). Identification and characterization of a major subgroup of conjugative Campylobacter jejuni plasmids. Journal of Infection. 50(1). 12–21. 32 indexed citations
17.
18.
Müller, Frank‐Michael C., A. Trusen, & Michael Weig. (2002). Clinical manifestations and diagnosis of invasive aspergillosis in immunocompromised children. European Journal of Pediatrics. 161(11). 563–574. 31 indexed citations
19.
Weig, Michael, Matthias Frosch, Kathrin Tintelnot, et al.. (2001). Use of Recombinant Mitogillin for Improved Serodiagnosis of Aspergillus fumigatus -Associated Diseases. Journal of Clinical Microbiology. 39(5). 1721–1730. 45 indexed citations
20.
Weig, Michael, Edgar Werner, Matthias Frosch, & H. Kasper. (1999). Limited effect of refined carbohydrate dietary supplementation on colonization of the gastrointestinal tract of healthy subjects by Candida albicans. American Journal of Clinical Nutrition. 69(6). 1170–1173. 11 indexed citations

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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