Michael Dal Molin

412 total citations
18 papers, 278 citations indexed

About

Michael Dal Molin is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Michael Dal Molin has authored 18 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 8 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Michael Dal Molin's work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (6 papers) and Cancer therapeutics and mechanisms (3 papers). Michael Dal Molin is often cited by papers focused on Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (6 papers) and Cancer therapeutics and mechanisms (3 papers). Michael Dal Molin collaborates with scholars based in Germany, Switzerland and Spain. Michael Dal Molin's co-authors include Peter Sander, Petra Selchow, Katja Becker, Anna Rominski, Klara Haldimann, Thomas Ryckmans, Simon Clark, Avinash Padhi, Soumitra Mohanty and Andreas Tschumi and has published in prestigious journals such as Angewandte Chemie International Edition, Antimicrobial Agents and Chemotherapy and Molecular Microbiology.

In The Last Decade

Michael Dal Molin

16 papers receiving 277 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 Dal Molin Germany 9 185 146 96 45 38 18 278
Huiping Ren Canada 7 248 1.3× 257 1.8× 141 1.5× 45 1.0× 64 1.7× 14 410
Carmen A. Molina-Torres Mexico 11 208 1.1× 202 1.4× 74 0.8× 15 0.3× 25 0.7× 25 321
Sophie Burbaud United Kingdom 5 138 0.7× 87 0.6× 117 1.2× 40 0.9× 22 0.6× 6 232
Michelle Yee Singapore 10 274 1.5× 218 1.5× 211 2.2× 23 0.5× 38 1.0× 11 395
Kelley Hurst-Hess United States 8 223 1.2× 156 1.1× 100 1.0× 13 0.3× 41 1.1× 12 348
Carole Veckerlé France 7 135 0.7× 154 1.1× 158 1.6× 25 0.6× 129 3.4× 9 387
Cátia Lacerda Sodré Brazil 11 102 0.6× 174 1.2× 104 1.1× 11 0.2× 31 0.8× 19 317
Gaby Silve France 7 235 1.3× 270 1.8× 117 1.2× 25 0.6× 41 1.1× 8 373
Mélanie Cortès France 10 231 1.2× 263 1.8× 74 0.8× 25 0.6× 95 2.5× 16 398
Wendy Gross United States 7 235 1.3× 306 2.1× 73 0.8× 37 0.8× 25 0.7× 11 392

Countries citing papers authored by Michael Dal Molin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dal Molin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Dal Molin

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

All Works

18 of 18 papers shown
1.
Rabodoarivelo, Marie Sylvianne, Eik Hoffmann, Cyril Gaudin, et al.. (2025). Protocol to quantify bacterial burden in time-kill assays using colony-forming units and most probable number readouts for Mycobacterium tuberculosis. STAR Protocols. 6(1). 103643–103643. 3 indexed citations
2.
Yang, Xiao-Li, Michael Dal Molin, Shiyuan Liu, et al.. (2025). Discovery and Total Synthesis of Crossiguanipyrazines with Potent Activity Against Mycobacterium tuberculosis. Angewandte Chemie International Edition. 64(52). e13977–e13977.
3.
Torres‐Gómez, Héctor, Peter Hortschansky, Michael Dal Molin, et al.. (2024). Replacement of the essential nitro group by electrophilic warheads towards nitro-free antimycobacterial benzothiazinones. European Journal of Medicinal Chemistry. 279. 116849–116849.
4.
Theobald, Sebastian J., Christian Utpatel, Manuel Koch, et al.. (2024). Discovery of dual-active ethionamide boosters inhibiting the Mycobacterium tuberculosis ESX-1 secretion system. Cell chemical biology. 31(4). 699–711.e6. 6 indexed citations
5.
Molin, Michael Dal, Vikram Pareek, Uwe Koch, et al.. (2023). A Reinvestigation of the Role of the Sorbic Acid Tail on the Antibacterial and Anti‐Tuberculosis Properties of Moiramide B. ChemMedChem. 18(11). e202200631–e202200631. 2 indexed citations
6.
Molin, Michael Dal, Karin Krumbach, Bas Vroling, et al.. (2023). Beyond rational—biosensor-guided isolation of 100 independently evolved bacterial strain variants and comparative analysis of their genomes. BMC Biology. 21(1). 183–183. 4 indexed citations
7.
Wijk, Rob C. van, Ainhoa Lucía, Cyril Gaudin, et al.. (2023). Implementing best practices on data generation and reporting of Mycobacterium tuberculosis in vitro assays within the ERA4TB consortium. iScience. 26(4). 106411–106411. 3 indexed citations
8.
Molin, Michael Dal, et al.. (2023). Characterization of Two Novel Inhibitors of the Mycobacterium tuberculosis Cytochrome bc 1 Complex. Antimicrobial Agents and Chemotherapy. 67(7). e0025123–e0025123. 2 indexed citations
9.
Ueoka, Reiko, Ioana Sandu, Michael Dal Molin, et al.. (2021). Aquimarins, Peptide Antibiotics with Amino‐Modified C‐Termini from a Sponge‐DerivedAquimarinasp. Bacterium. Angewandte Chemie International Edition. 61(8). e202115802–e202115802. 18 indexed citations
10.
Ueoka, Reiko, Ioana Sandu, Michael Dal Molin, et al.. (2021). Aquimarins, Peptide Antibiotics with Amino‐Modified C‐Termini from a Sponge‐DerivedAquimarinasp. Bacterium. Angewandte Chemie. 134(8). 3 indexed citations
11.
Höhl, Michael, Haig Alexander Eskandarian, Michael Dal Molin, et al.. (2019). Increased drug permeability of a stiffened mycobacterial outer membrane in cells lacking MFS transporter Rv1410 and lipoprotein LprG. Molecular Microbiology. 111(5). 1263–1282. 19 indexed citations
12.
Molin, Michael Dal, et al.. (2019). Identification of novel scaffolds targeting Mycobacterium tuberculosis. Journal of Molecular Medicine. 97(11). 1601–1613. 21 indexed citations
13.
Rominski, Anna, et al.. (2017). Elucidation of Mycobacterium abscessus aminoglycoside and capreomycin resistance by targeted deletion of three putative resistance genes. Journal of Antimicrobial Chemotherapy. 72(8). 2191–2200. 52 indexed citations
14.
Matt, Ulrich, Petra Selchow, Michael Dal Molin, et al.. (2017). Chloroquine enhances the antimycobacterial activity of isoniazid and pyrazinamide by reversing inflammation-induced macrophage efflux. International Journal of Antimicrobial Agents. 50(1). 55–62. 18 indexed citations
15.
16.
Molin, Michael Dal, et al.. (2017). Molecular Mechanisms of Intrinsic Streptomycin Resistance in Mycobacterium abscessus. Antimicrobial Agents and Chemotherapy. 62(1). 29 indexed citations
17.
Sander, Peter, Simon Clark, Agnese Petrera, et al.. (2015). Deletion of zmp1 improves Mycobacterium bovis BCG-mediated protection in a guinea pig model of tuberculosis. Vaccine. 33(11). 1353–1359. 47 indexed citations
18.
Mohanty, Soumitra, Michael Dal Molin, Avinash Padhi, et al.. (2015). Mycobacterium tuberculosis EsxO (Rv2346c) promotes bacillary survival by inducing oxidative stress mediated genomic instability in macrophages. Tuberculosis. 96. 44–57. 27 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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