Thomas Doedt

875 total citations
9 papers, 738 citations indexed

About

Thomas Doedt is a scholar working on Infectious Diseases, Epidemiology and Small Animals. According to data from OpenAlex, Thomas Doedt has authored 9 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 5 papers in Epidemiology and 2 papers in Small Animals. Recurrent topics in Thomas Doedt's work include Antifungal resistance and susceptibility (9 papers), Fungal Infections and Studies (5 papers) and Fungal and yeast genetics research (2 papers). Thomas Doedt is often cited by papers focused on Antifungal resistance and susceptibility (9 papers), Fungal Infections and Studies (5 papers) and Fungal and yeast genetics research (2 papers). Thomas Doedt collaborates with scholars based in Canada, United States and Germany. Thomas Doedt's co-authors include Joachim F. Ernst, Donald C. Sheppard, Scott G. Filler, Shankarling Krishnamurthy, Fabien Cottier, Lisa Y. Chiang, Claire Russell, Alistair J. P. Brown, Dirk P. Bockmühl and Sun Kim and has published in prestigious journals such as Journal of Molecular Biology, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Thomas Doedt

9 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Doedt Canada 9 545 366 304 151 106 9 738
Mike Birch United Kingdom 21 754 1.4× 571 1.6× 224 0.7× 200 1.3× 123 1.2× 38 1.1k
Lisa Y. Chiang United States 9 487 0.9× 259 0.7× 235 0.8× 233 1.5× 150 1.4× 10 720
Yan-Ming Wang Singapore 9 678 1.2× 399 1.1× 578 1.9× 154 1.0× 77 0.7× 13 998
Nico Dunkel Germany 8 528 1.0× 407 1.1× 178 0.6× 87 0.6× 86 0.8× 8 630
Kelley R. Healey United States 16 988 1.8× 809 2.2× 174 0.6× 192 1.3× 109 1.0× 25 1.1k
Shelley Lane United States 12 574 1.1× 398 1.1× 458 1.5× 129 0.9× 80 0.8× 16 841
Srisombat Puttikamonkul United States 8 384 0.7× 250 0.7× 371 1.2× 270 1.8× 163 1.5× 12 804
Roy A. Khalaf Lebanon 13 385 0.7× 299 0.8× 245 0.8× 79 0.5× 59 0.6× 33 582
Yohannes G. Asfaw United States 16 473 0.9× 272 0.7× 425 1.4× 202 1.3× 181 1.7× 27 878
Yona Shadkchan Israel 18 369 0.7× 217 0.6× 316 1.0× 294 1.9× 109 1.0× 25 724

Countries citing papers authored by Thomas Doedt

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Doedt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Doedt

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

All Works

9 of 9 papers shown
2.
Gravelat, Fabrice N., Thomas Doedt, Lisa Y. Chiang, et al.. (2008). In Vivo Analysis of Aspergillus fumigatus Developmental Gene Expression Determined by Real-Time Reverse Transcription-PCR. Infection and Immunity. 76(8). 3632–3639. 41 indexed citations
3.
Sheppard, Donald C., et al.. (2006). Comparison of three methodologies for the determination of pulmonary fungal burden in experimental murine aspergillosis. Clinical Microbiology and Infection. 12(4). 376–380. 61 indexed citations
4.
Doedt, Thomas, et al.. (2006). Transcriptional Response of Candida albicans to Hypoxia: Linkage of Oxygen Sensing and Efg1p-regulatory Networks. Journal of Molecular Biology. 361(3). 399–411. 155 indexed citations
5.
Sheppard, Donald C., John R. Graybill, Laura K. Najvar, et al.. (2006). Standardization of an Experimental Murine Model of Invasive Pulmonary Aspergillosis. Antimicrobial Agents and Chemotherapy. 50(10). 3501–3503. 45 indexed citations
6.
Kamai, Yasuki, et al.. (2006). Interactions of Aspergillus fumigatus with vascular endothelial cells. Medical Mycology. 44(Supplement_1). S115–S117. 45 indexed citations
7.
Sheppard, Donald C., Thomas Doedt, Lisa Y. Chiang, et al.. (2005). TheAspergillus fumigatusStuA Protein Governs the Up-Regulation of a Discrete Transcriptional Program during the Acquisition of Developmental Competence. Molecular Biology of the Cell. 16(12). 5866–5879. 102 indexed citations
8.
Doedt, Thomas, Shankarling Krishnamurthy, Dirk P. Bockmühl, et al.. (2004). APSES Proteins Regulate Morphogenesis and Metabolism inCandida albicans. Molecular Biology of the Cell. 15(7). 3167–3180. 190 indexed citations
9.
Doedt, Thomas, et al.. (2003). Adaptation of the Efg1p Morphogenetic Pathway in Candida albicans by Negative Autoregulation and PKA-dependent Repression of the EFG1 Gene. Journal of Molecular Biology. 329(5). 949–962. 74 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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