Michael Poidinger

20.4k total citations · 4 hit papers
106 papers, 8.2k citations indexed

About

Michael Poidinger is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Michael Poidinger has authored 106 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Immunology, 38 papers in Molecular Biology and 22 papers in Infectious Diseases. Recurrent topics in Michael Poidinger's work include Immune Cell Function and Interaction (19 papers), Mosquito-borne diseases and control (18 papers) and Immunotherapy and Immune Responses (18 papers). Michael Poidinger is often cited by papers focused on Immune Cell Function and Interaction (19 papers), Mosquito-borne diseases and control (18 papers) and Immunotherapy and Immune Responses (18 papers). Michael Poidinger collaborates with scholars based in Singapore, United States and Australia. Michael Poidinger's co-authors include Jinmiao Chen, Francesca Zolezzi, J. S. Mackenzie, Anis Larbi, Josephine Lum, Evan W. Newell, Bernett Lee, Florent Ginhoux, Roy A. Hall and João Pedro de Magalhães and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Poidinger

106 papers receiving 8.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

C-Myb+ Erythro-Myeloid Progenitor-Derived Fetal Monocytes Give Rise to Adult Tissue-Resident Macrophages

2015 829 citations Jinmiao Chen, Donovan Low et al. Immunity profile →
Cistrome: an integrative platform for transcriptional regulation studies

2011 512 citations Michael Poidinger et al. profile →
RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types

2019 502 citations Weili Xu, Christophe Carré et al. profile →
Metformin as adjunct antituberculosis therapy

2014 378 citations Jinmiao Chen, Francesca Zolezzi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Poidinger Singapore	43	3.4k	2.8k	1.8k	1.3k	1.2k	106	8.2k
Ruth R. Montgomery United States	54	3.7k 1.1×	2.5k 0.9×	3.2k 1.8×	2.2k 1.7×	1.3k 1.1×	143	10.3k
Amber M. Smith United States	43	5.5k 1.6×	2.5k 0.9×	2.3k 1.3×	1.9k 1.5×	2.6k 2.2×	80	10.2k
Valérie Quesniaux France	52	4.4k 1.3×	2.6k 1.0×	1.6k 0.9×	477 0.4×	1.6k 1.4×	179	9.0k
Heinrich Körner Australia	47	4.2k 1.2×	1.7k 0.6×	850 0.5×	725 0.6×	1.2k 1.0×	128	7.8k
Andrej Tarkowski Sweden	51	3.1k 0.9×	3.4k 1.2×	1.6k 0.9×	589 0.5×	1.6k 1.3×	138	9.7k
Carolyn B. Coyne United States	55	3.2k 0.9×	3.3k 1.2×	2.6k 1.5×	1.9k 1.5×	2.5k 2.2×	123	10.3k
Si Ming Man Australia	47	3.9k 1.2×	7.5k 2.7×	1.8k 1.0×	661 0.5×	1.3k 1.1×	87	11.6k
Janko Nikolich‐Žugich United States	50	4.4k 1.3×	1.4k 0.5×	1.5k 0.9×	866 0.7×	2.1k 1.8×	143	8.7k
Jin Wang United States	49	4.0k 1.2×	4.7k 1.7×	1.2k 0.7×	679 0.5×	2.0k 1.7×	153	10.3k
David J. Kelvin Canada	56	4.3k 1.3×	3.0k 1.1×	2.0k 1.1×	591 0.5×	1.9k 1.6×	180	10.5k

Countries citing papers authored by Michael Poidinger

Since Specialization

Citations

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

Fields of papers citing papers by Michael Poidinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Poidinger

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Carré, Christophe, Glenn Wong, Vipin Narang, et al.. (2021). Endoplasmic reticulum stress response and bile acid signatures associate with multi-strain seroresponsiveness during elderly influenza vaccination. iScience. 24(9). 102970–102970. 5 indexed citations

Cheng, Yang, Yuan Zhu, Étienne Becht, et al.. (2019). Multifactorial heterogeneity of virus-specific T cells and association with the progression of human chronic hepatitis B infection. Science Immunology. 4(32). 58 indexed citations

Li, J, Julian J. Lum, Zacharias Aloysius Dwi Pramono, et al.. (2018). Nanostring Analysis of Skin Biopsies from Patients with Henoch-Schönlein Purpura Reveals Genes Associated with Pathology and Heterogeneity in the Disease Process. Acta Dermato Venereologica. 98(9). 896–897. 1 indexed citations

Tso, Gloria Hoi Wan, Jose Antonio Reales‐Calderón, Alrina Tan, et al.. (2018). Experimental evolution of a fungal pathogen into a gut symbiont. Science. 362(6414). 589–595. 179 indexed citations

Thomas‐Rüddel, Daniel, Michael Poidinger, Matthias Kott, et al.. (2018). Influence of pathogen and focus of infection on procalcitonin values in sepsis patients with bacteremia or candidemia. Critical Care. 22(1). 128–128. 80 indexed citations

Lau, Mai Chan, et al.. (2016). Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline. PLoS Computational Biology. 12(9). e1005112–e1005112. 212 indexed citations

Chen, Jinmiao, Andreas Schlitzer, Svetoslav Chakarov, Florent Ginhoux, & Michael Poidinger. (2016). Mpath maps multi-branching single-cell trajectories revealing progenitor cell progression during development. Nature Communications. 7(1). 11988–11988. 50 indexed citations

Schlitzer, Andreas, V. Sivakamasundari, Jinmiao Chen, et al.. (2015). Identification of cDC1- and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow. Nature Immunology. 16(7). 718–728. 382 indexed citations

Liu, Gaowen, Mei Yong, Marina Yurieva, et al.. (2015). Gene Essentiality Is a Quantitative Property Linked to Cellular Evolvability. Cell. 163(6). 1388–1399. 108 indexed citations

10.

Becher, Burkhard, Andreas Schlitzer, Jinmiao Chen, et al.. (2014). High-dimensional analysis of the murine myeloid cell system. Nature Immunology. 15(12). 1181–1189. 250 indexed citations

11.

Toh, Ying Xiu, Victor C. Gan, Thavamalar Balakrishnan, et al.. (2014). Dengue Serotype Cross-Reactive, Anti-E Protein Antibodies Confound Specific Immune Memory for 1 Year after Infection. Frontiers in Immunology. 5. 388–388. 18 indexed citations

12.

Chittezhath, Manesh, Manprit Kaur Dhillon, Damya Laoui, et al.. (2014). Molecular Profiling Reveals a Tumor-Promoting Phenotype of Monocytes and Macrophages in Human Cancer Progression. Immunity. 41(5). 815–829. 217 indexed citations

13.

Chen, Jinmiao, et al.. (2014). Mapping of HPV transcripts in four human cervical lesions using RNAseq suggests quantitative rearrangements during carcinogenic progression. Virology. 462-463. 14–24. 41 indexed citations

14.

Meyer‐Hermann, Michael, Leigh Ann Jones, Lakshmi Ramakrishna, et al.. (2013). The distinctive germinal center phase of IgE+ B lymphocytes limits their contribution to the classical memory response. The Journal of Experimental Medicine. 210(12). 2755–2771. 123 indexed citations

15.

Passioura, Toby, Amber Goodchild, Andrew King, et al.. (2009). Interfering ribonucleic acids that suppress expression of multiple unrelated genes. BMC Biotechnology. 9(1). 57–57. 2 indexed citations

16.

Mackenzie, J. S., et al.. (2000). Molecular epidemiology and phylogeny of Australian arboviruses. Molecular and Cellular Biochemistry. 11(2). 297–315. 4 indexed citations

17.

Poidinger, Michael, Roy A. Hall, M.D. Lindsay, A.K. Broom, & J. S. Mackenzie. (2000). The molecular epidemiology of Kokobera virus. Virus Research. 68(1). 7–13. 12 indexed citations

18.

Hyland, Catherine A., et al.. (2000). Hepatitis G virus genotypes in Australia, Papua New Guinea and the Solomon Islands: A possible new Pacific type identified. Journal of Gastroenterology and Hepatology. 15(8). 952–956. 7 indexed citations

19.

Johansen, Christoffer, Scott A. Ritchie, Andrew F. van den Hurk, et al.. (1997). The search for Japanese encephalitis virus in the Western Province of Papua New Guinea, 1996. UWA Profiles and Research Repository (University of Western Australia). 11 indexed citations

20.

Poidinger, Michael, et al.. (1997). Genetic Stability Among Temporally and Geographically Diverse Isolates of Barmah Forest Virus. American Journal of Tropical Medicine and Hygiene. 57(2). 230–234. 33 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.

Explore authors with similar magnitude of impact