Tami D. Lieberman

4.6k total citations · 3 hit papers
23 papers, 2.3k citations indexed

About

Tami D. Lieberman is a scholar working on Molecular Biology, Genetics and Dermatology. According to data from OpenAlex, Tami D. Lieberman has authored 23 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Dermatology. Recurrent topics in Tami D. Lieberman's work include Evolution and Genetic Dynamics (8 papers), Gut microbiota and health (5 papers) and Dermatology and Skin Diseases (4 papers). Tami D. Lieberman is often cited by papers focused on Evolution and Genetic Dynamics (8 papers), Gut microbiota and health (5 papers) and Dermatology and Skin Diseases (4 papers). Tami D. Lieberman collaborates with scholars based in United States, Israel and Austria. Tami D. Lieberman's co-authors include Roy Kishony, Michael Baym, Hattie Chung, Idan Yelin, Michael M. Desai, Sergey Kryazhimskiy, Seungsoo Kim, Remy Chait, Gregory P. Priebe and Alexander J. McAdam and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Tami D. Lieberman

22 papers receiving 2.2k citations

Hit Papers

Inexpensive Multiplexed Library Preparation for Megabase-... 2015 2026 2018 2022 2015 2016 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tami D. Lieberman United States 15 1.2k 716 390 339 309 23 2.3k
Natalie Verstraeten Belgium 24 1.5k 1.3× 966 1.3× 635 1.6× 267 0.8× 422 1.4× 52 2.6k
Emily J. Stevens United Kingdom 10 1000 0.8× 391 0.5× 329 0.8× 198 0.6× 183 0.6× 17 1.7k
Tim van Opijnen United States 30 1.7k 1.5× 791 1.1× 429 1.1× 440 1.3× 603 2.0× 61 3.2k
Ruth C. Massey United Kingdom 29 1.7k 1.5× 475 0.7× 186 0.5× 1.6k 4.7× 254 0.8× 59 3.0k
Wai‐Leung Ng United States 24 2.1k 1.8× 845 1.2× 418 1.1× 380 1.1× 501 1.6× 35 3.5k
Marjan W. van der Woude United Kingdom 28 1.3k 1.1× 963 1.3× 246 0.6× 258 0.8× 650 2.1× 49 2.5k
Ruth Hershberg Israel 20 2.4k 2.0× 1.2k 1.6× 137 0.4× 528 1.6× 710 2.3× 36 3.3k
David Šmajs Czechia 35 847 0.7× 359 0.5× 183 0.5× 282 0.8× 275 0.9× 156 3.5k
Matthew C. Radey United States 26 1.4k 1.2× 390 0.5× 421 1.1× 337 1.0× 231 0.7× 41 2.4k
Véronique Perrot United States 8 405 0.3× 646 0.9× 345 0.9× 174 0.5× 234 0.8× 9 1.4k

Countries citing papers authored by Tami D. Lieberman

Since Specialization
Citations

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

Fields of papers citing papers by Tami D. Lieberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tami D. Lieberman. 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 Tami D. Lieberman. The network helps show where Tami D. Lieberman may publish in the future.

Co-authorship network of co-authors of Tami D. Lieberman

This figure shows the co-authorship network connecting the top 25 collaborators of Tami D. Lieberman. A scholar is included among the top collaborators of Tami D. Lieberman 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 Tami D. Lieberman. Tami D. Lieberman 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.
Mancuso, Christopher P., et al.. (2025). Intraspecies dynamics underlie the apparent stability of two important skin microbiome species. Cell Host & Microbe. 33(5). 643–656.e7. 1 indexed citations
2.
Mancuso, Christopher P., et al.. (2025). Intraspecies warfare restricts strain coexistence in human skin microbiomes. Nature Microbiology. 10(7). 1581–1592. 1 indexed citations
3.
Lieberman, Tami D., et al.. (2024). Reversions mask the contribution of adaptive evolution in microbiomes. eLife. 13. 3 indexed citations
4.
Key, Felix M., Kimbria J. Blake, Liwen Deng, et al.. (2023). On-person adaptive evolution of Staphylococcus aureus during treatment for atopic dermatitis. Cell Host & Microbe. 31(4). 593–603.e7. 42 indexed citations
5.
Yu, Sherry H., et al.. (2022). Cutaneous Surgical Wounds Have Distinct Microbiomes from Intact Skin. Microbiology Spectrum. 11(1). e0330022–e0330022. 14 indexed citations
6.
Lieberman, Tami D.. (2022). Detecting bacterial adaptation within individual microbiomes. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1861). 20210243–20210243. 14 indexed citations
7.
Conwill, Arolyn, et al.. (2022). Anatomy promotes neutral coexistence of strains in the human skin microbiome. Cell Host & Microbe. 30(2). 171–182.e7. 101 indexed citations
8.
Key, Felix M., et al.. (2021). The Skin Microbiome of Patients With Atopic Dermatitis Normalizes Gradually During Treatment. Frontiers in Cellular and Infection Microbiology. 11. 720674–720674. 55 indexed citations
9.
Zhao, Shijie, Tami D. Lieberman, Mathilde Poyet, et al.. (2019). Adaptive Evolution within Gut Microbiomes of Healthy People. Cell Host & Microbe. 25(5). 656–667.e8. 254 indexed citations breakdown →
10.
Chung, Hattie, Tami D. Lieberman, Sara O. Vargas, et al.. (2017). Global and local selection acting on the pathogen Stenotrophomonas maltophilia in the human lung. Nature Communications. 8(1). 14078–14078. 38 indexed citations
11.
Baym, Michael, et al.. (2016). Compounds that select against the tetracycline-resistance efflux pump. Nature Chemical Biology. 12(11). 902–904. 41 indexed citations
12.
Lieberman, Tami D., et al.. (2016). Genomic diversity in autopsy samples reveals within-host dissemination of HIV-associated Mycobacterium tuberculosis. Nature Medicine. 22(12). 1470–1474. 98 indexed citations
13.
Baym, Michael, Tami D. Lieberman, Eric D. Kelsic, et al.. (2016). Spatiotemporal microbial evolution on antibiotic landscapes. Science. 353(6304). 1147–1151. 363 indexed citations breakdown →
14.
Lieberman, Tami D., et al.. (2015). A Hybrid Drug Limits Resistance by Evading the Action of the Multiple Antibiotic Resistance Pathway. Molecular Biology and Evolution. 33(2). 492–500. 19 indexed citations
15.
Baym, Michael, Sergey Kryazhimskiy, Tami D. Lieberman, et al.. (2015). Inexpensive Multiplexed Library Preparation for Megabase-Sized Genomes. PLoS ONE. 10(5). e0128036–e0128036. 457 indexed citations breakdown →
16.
Wintermute, Edwin H., Tami D. Lieberman, & Pamela A. Silver. (2013). An objective function exploiting suboptimal solutions in metabolic networks. BMC Systems Biology. 7(1). 98–98. 21 indexed citations
17.
Lieberman, Tami D., Kelly B. Flett, Idan Yelin, et al.. (2013). Genetic variation of a bacterial pathogen within individuals with cystic fibrosis provides a record of selective pressures. Nature Genetics. 46(1). 82–87. 193 indexed citations
18.
Lieberman, Tami D., Jean-Baptiste Michel, Gail Potter-Bynoe, et al.. (2011). Parallel bacterial evolution within multiple patients identifies candidate pathogenicity genes. Nature Genetics. 43(12). 1275–1280. 278 indexed citations
19.
Agapakis, Christina M., Henrike Niederholtmeyer, Ramil R. Noche, et al.. (2011). Towards a Synthetic Chloroplast. PLoS ONE. 6(4). e18877–e18877. 53 indexed citations
20.
Wassersug, Richard J. & Tami D. Lieberman. (2010). Contemporary castration: why the modern day eunuch remains invisible. BMJ. 341(aug18 2). c4509–c4509. 8 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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