Thomas Litman

11.1k total citations · 3 hit papers
146 papers, 8.5k citations indexed

About

Thomas Litman is a scholar working on Molecular Biology, Oncology and Dermatology. According to data from OpenAlex, Thomas Litman has authored 146 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 53 papers in Oncology and 42 papers in Dermatology. Recurrent topics in Thomas Litman's work include Drug Transport and Resistance Mechanisms (36 papers), MicroRNA in disease regulation (21 papers) and Dermatology and Skin Diseases (21 papers). Thomas Litman is often cited by papers focused on Drug Transport and Resistance Mechanisms (36 papers), MicroRNA in disease regulation (21 papers) and Dermatology and Skin Diseases (21 papers). Thomas Litman collaborates with scholars based in Denmark, United States and Germany. Thomas Litman's co-authors include Susan E. Bates, Wilfred D. Stein, Robert W. Robey, Todd E. Druley, Thomas Zeuthen, Keisuke Miyake, Tito Fojo, Torben Skovsgaard, Keisuke Miyake and Zhirong Zhan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Thomas Litman

143 papers receiving 8.4k 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.

Molecular cloning of cDNAs which are highly overexpressed in mitoxantrone-resistant cells: demonstration of homology to ABC transport genes.

1999 674 citations Thomas Litman, Zhirong Zhan et al. profile →
From MDR to MXR: new understanding of multidrug resistance systems, their properties and clinical significance

2001 574 citations Thomas Litman, Wilfred D. Stein et al. profile →
The effect of short-chain fatty acids on human monocyte-derived dendritic cells

2015 317 citations Claudia Nastasi, Charlotte M. Bonefeld et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Litman Denmark	46	4.5k	4.0k	1.5k	1.4k	945	146	8.5k
Toshiyuki Miyashita Japan	46	5.7k 1.3×	10.1k 2.5×	173 0.1×	1.9k 1.3×	322 0.3×	123	14.1k
Ugo Testa Italy	68	3.0k 0.7×	8.7k 2.2×	473 0.3×	2.7k 1.9×	125 0.1×	423	16.9k
Douglas V. Faller United States	57	2.5k 0.5×	7.3k 1.8×	563 0.4×	1.8k 1.3×	85 0.1×	277	13.6k
S J Korsmeyer United States	50	3.5k 0.8×	9.1k 2.3×	334 0.2×	1.4k 1.0×	172 0.2×	74	15.8k
Massimo Gadina United States	55	4.1k 0.9×	3.5k 0.9×	116 0.1×	794 0.6×	932 1.0×	126	13.2k
Martin Bilban Austria	49	966 0.2×	4.8k 1.2×	915 0.6×	973 0.7×	86 0.1×	143	8.4k
Lionel Feigenbaum United States	61	4.3k 0.9×	4.5k 1.1×	163 0.1×	879 0.6×	259 0.3×	123	15.1k
Arun K. Rishi United States	38	2.6k 0.6×	3.7k 0.9×	494 0.3×	731 0.5×	38 0.0×	120	6.6k
Hiroshi Hiai Japan	44	4.2k 0.9×	4.3k 1.1×	119 0.1×	1.0k 0.7×	201 0.2×	148	12.0k
Huidong Shi United States	51	1.2k 0.3×	6.2k 1.5×	338 0.2×	1.1k 0.8×	62 0.1×	183	8.8k

Countries citing papers authored by Thomas Litman

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Litman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Litman

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Litman. A scholar is included among the top collaborators of Thomas Litman 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 Litman. Thomas Litman 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

Thaçi, Diamant, Vivian Laquer, Charles Lynde, et al.. (2025). Targeting IL-22RA1 with temtokibart: A novel approach in atopic dermatitis: Phase 2a monotherapy study results. Journal of Allergy and Clinical Immunology. 157(3). 666–676.

Gordon, Emily R., Megan H. Trager, Connor J. Stonesifer, et al.. (2024). Maintenance therapy for CTCL: importance for prevention of disease progression. Leukemia & lymphoma. 65(12). 1883–1890.

Bertelsen, Trine, Thomas Litman, Morten Muhlig Nielsen, et al.. (2024). Secukinumab and Dead Sea Climatotherapy Impact Resolved Psoriasis Skin Differently Potentially Affecting Disease Memory. International Journal of Molecular Sciences. 25(11). 6086–6086. 3 indexed citations

Gluud, Maria, Morten Bagge Hansen, Jonathan M. Coquet, et al.. (2024). Keratinocytes Present Staphylococcus aureus Enterotoxins and Promote Malignant and Nonmalignant T Cell Proliferation in Cutaneous T-Cell Lymphoma. Journal of Investigative Dermatology. 144(12). 2789–2804.e10. 1 indexed citations

Naimy, Soraya, Dorota E. Kuczek, Marianne Bengtson Løvendorf, et al.. (2024). Comparative Quantitative Proteomic Analysis of Melanoma Subtypes, Nevus-Associated Melanoma, and Corresponding Nevi. Journal of Investigative Dermatology. 144(7). 1608–1621.e4. 3 indexed citations

Scotto, Luigi, Thomas Litman, Hu Zhu, et al.. (2023). Novel Therapeutic Strategies Exploiting the Unique Properties of Neuroendocrine Neoplasms. Cancers. 15(20). 4960–4960. 1 indexed citations

Hu, Tu, Tanja Todberg, David Ewald, et al.. (2022). Assessment of Spatial and Temporal Variation in the Skin Transcriptome of Atopic Dermatitis by Use of 1.5 mm Minipunch Biopsies. Journal of Investigative Dermatology. 143(4). 612–620.e6. 13 indexed citations

Hu, Tu, Tanja Todberg, Daniel Andersen, et al.. (2022). Profiling the Atopic Dermatitis Epidermal Transcriptome by Tape Stripping and BRB-seq. International Journal of Molecular Sciences. 23(11). 6140–6140. 2 indexed citations

Willerslev-Olsen, Andreas, Lise Mette Rahbek Gjerdrum, Lise M. Lindahl, et al.. (2021). Staphylococcus aureus Induces Signal Transducer and Activator of Transcription 5‒Dependent miR-155 Expression in Cutaneous T-Cell Lymphoma. Journal of Investigative Dermatology. 141(10). 2449–2458. 20 indexed citations

10.

Litman, Thomas, Robert W. Robey, Andrés Aguilera, et al.. (2021). R-Loop–Mediated ssDNA Breaks Accumulate Following Short-Term Exposure to the HDAC Inhibitor Romidepsin. Molecular Cancer Research. 19(8). 1361–1374. 19 indexed citations

11.

Litman, Thomas, Helle Broholm, Linea Cecilie Melchior, et al.. (2020). Regional Differences in Neuroinflammation-Associated Gene Expression in the Brain of Sporadic Creutzfeldt–Jakob Disease Patients. International Journal of Molecular Sciences. 22(1). 140–140. 7 indexed citations

12.

Thysen, Anna Hammerich, Johannes Waage, Jeppe Madura Larsen, et al.. (2020). Distinct immune phenotypes in infants developing asthma during childhood. Science Translational Medicine. 12(529). 17 indexed citations

13.

Buus, Terkild B., Andreas Willerslev-Olsen, Simon Fredholm, et al.. (2018). Single-cell heterogeneity in Sézary syndrome. Blood Advances. 2(16). 2115–2126. 74 indexed citations

14.

Burton, Mark, Mads Thomassen, F. Alan Andersen, et al.. (2017). The gene expression and immunohistochemical time‐course of diphenylcyclopropenone‐induced contact allergy in healthy humans following repeated epicutaneous challenges. Experimental Dermatology. 26(10). 926–933. 5 indexed citations

15.

Blom, Lars, et al.. (2017). The immunoglobulin superfamily member CD200R identifies cells involved in type 2 immune responses. Allergy. 72(7). 1081–1090. 26 indexed citations

16.

Gaedcke, Jochen, Marian Grade, Jordi Camps, et al.. (2012). The Rectal Cancer microRNAome – microRNA Expression in Rectal Cancer and Matched Normal Mucosa. Clinical Cancer Research. 18(18). 4919–4930. 158 indexed citations

17.

Søkilde, Rolf, Bogumił Kaczkowski, Agnieszka Podolska, et al.. (2011). Global microRNA Analysis of the NCI-60 Cancer Cell Panel. Molecular Cancer Therapeutics. 10(3). 375–384. 68 indexed citations

18.

To, Kenneth K.W., Zhirong Zhan, Thomas Litman, & Susan E. Bates. (2008). Regulation of ABCG2 Expression at the 3′ Untranslated Region of Its mRNA through Modulation of Transcript Stability and Protein Translation by a Putative MicroRNA in the S1 Colon Cancer Cell Line. Molecular and Cellular Biology. 28(17). 5147–5161. 137 indexed citations

19.

Stein, Wilfred D., Thomas Litman, Tito Fojo, & Susan E. Bates. (2004). A Serial Analysis of Gene Expression (SAGE) Database Analysis of Chemosensitivity. Cancer Research. 64(8). 2805–2816. 101 indexed citations

20.

Nielsen, Dorte, Christian Maare, Jens Eriksen, et al.. (2000). Characterisation of multidrug-resistant Ehrlich ascites tumour cells selected in vivo for resistance to etoposide. Biochemical Pharmacology. 60(3). 353–361. 6 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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