Tomas Leanderson

6.2k total citations
138 papers, 4.7k citations indexed

About

Tomas Leanderson is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tomas Leanderson has authored 138 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Immunology, 60 papers in Molecular Biology and 29 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tomas Leanderson's work include T-cell and B-cell Immunology (53 papers), Immune Cell Function and Interaction (45 papers) and Monoclonal and Polyclonal Antibodies Research (29 papers). Tomas Leanderson is often cited by papers focused on T-cell and B-cell Immunology (53 papers), Immune Cell Function and Interaction (45 papers) and Monoclonal and Polyclonal Antibodies Research (29 papers). Tomas Leanderson collaborates with scholars based in Sweden, United States and United Kingdom. Tomas Leanderson's co-authors include Fredrik Ivars, Eva Källberg, David Liberg, Anders Olsson, Mikael Sigvardsson, David Gray, Per Björk, Ronald W. Pero, Thomas Vogl and Johannes Roth and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Tomas Leanderson

137 papers receiving 4.6k citations

Peers

Tomas Leanderson

IMMUN

ONCOL

EPIDE

Nancy C. Fiore United States

Franco Di Padova Switzerland

Johannes Stöckl Austria

Ralph C. Budd United States

Thomas Geiger Germany

Henry J. Showell United States

Bernd Echtenacher Germany

Laura DeForge United States

Richard C. Duke United States

P A Campbell United States

Nancy C. Fiore United States

Tomas Leanderson

2.3k ×0.8

IMMUN

1.4k ×0.8

929 ×1.3

ONCOL

588 ×1.3

465 ×1.2

EPIDE

Citations per year, relative to Tomas Leanderson Tomas Leanderson (= 1×) peers Nancy C. Fiore

Countries citing papers authored by Tomas Leanderson

Since Specialization

Citations

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

Fields of papers citing papers by Tomas Leanderson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomas Leanderson

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

All Works

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20 of 20 papers shown

Shen, Li, Anette Sundstedt, Michael J. Ciesielski, et al.. (2014). Tasquinimod Modulates Suppressive Myeloid Cells and Enhances Cancer Immunotherapies in Murine Models. Cancer Immunology Research. 3(2). 136–148. 74 indexed citations

Sundstedt, Anette, et al.. (2013). Amelioration of Experimental Autoimmune Encephalomyelitis by the Quinoline-3-Carboxamide Paquinimod. American Journal Of Pathology. 182(5). 1671–1680. 26 indexed citations

Deronic, Adnan, et al.. (2013). The quinoline-3-carboxamide paquinimod (ABR-215757) reduces leukocyte recruitment during sterile inflammation: Leukocyte- and context-specific effects. International Immunopharmacology. 18(2). 290–297. 16 indexed citations

Isaacs, John T., Lizamma Antony, Susan L. Dalrymple, et al.. (2012). Tasquinimod Is an Allosteric Modulator of HDAC4 Survival Signaling within the Compromised Cancer Microenvironment. Cancer Research. 73(4). 1386–1399. 89 indexed citations

Olsson, Magnus, Heike Kotarsky, Tor Olofsson, et al.. (2012). The Radical-Binding Lipocalin A1M Binds to a Complex I Subunit and Protects Mitochondrial Structure and Function. Antioxidants and Redox Signaling. 18(16). 2017–2028. 39 indexed citations

Källberg, Eva, Thomas Vogl, David Liberg, et al.. (2012). S100A9 Interaction with TLR4 Promotes Tumor Growth. PLoS ONE. 7(3). e34207–e34207. 115 indexed citations

Biondo, Carmelo, Angelina Midiri, Maria Elsa Gambuzza, et al.. (2008). IFN-α/β Signaling Is Required for Polarization of Cytokine Responses toward a Protective Type 1 Pattern during Experimental Cryptococcosis. The Journal of Immunology. 181(1). 566–573. 47 indexed citations

Källberg, Eva & Tomas Leanderson. (2007). A subset of dendritic cells express joining chain (J‐chain) protein. Immunology. 123(4). 590–599. 16 indexed citations

Mancuso, Giuseppe, Angelina Midiri, Carmelo Biondo, et al.. (2007). Type I IFN Signaling Is Crucial for Host Resistance against Different Species of Pathogenic Bacteria. The Journal of Immunology. 178(5). 3126–3133. 209 indexed citations

10.

Teige, Ingrid, Alexandra Treschow, Ragnar Mattsson, et al.. (2003). IFN-β Gene Deletion Leads to Augmented and Chronic Demyelinating Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 170(9). 4776–4784. 174 indexed citations

11.

Wrammert, Jens, et al.. (2003). Strong Differential Regulation of Serum and Mucosal IgA Responses as Revealed in CD28-Deficient Mice Using Cholera Toxin Adjuvant. The Journal of Immunology. 170(1). 55–63. 41 indexed citations

12.

Lindgren, Hanna, Karol Axcrona, & Tomas Leanderson. (2001). Regulation of Transcriptional Activity of the Murine CD40 Ligand Promoter in Response to Signals Through TCR and the Costimulatory Molecules CD28 and CD2. The Journal of Immunology. 166(7). 4578–4585. 34 indexed citations

13.

Cockayne, Debra A., et al.. (2001). Signals That Initiate Somatic Hypermutation of B Cells In Vitro. The Journal of Immunology. 166(4). 2228–2234. 23 indexed citations

14.

Erlandsson, Lena, et al.. (1998). Interferon-β is required for interferon-α production in mouse fibroblasts. Current Biology. 8(4). 223–226. 145 indexed citations

15.

Liberg, David, Mikael Sigvardsson, & Tomas Leanderson. (1997). OCT proteins are qualitative rather than quantitative regulators of κ transcription. Molecular Immunology. 34(14). 979–986. 3 indexed citations

16.

Sigvardsson, Mikael, Mats Bemark, & Tomas Leanderson. (1995). Pentadecamer-Binding Proteins: Definition of Two Independent Protein-Binding Sites Needed for Functional Activity. Molecular and Cellular Biology. 15(3). 1343–1352. 15 indexed citations

17.

Sigvardsson, Mikael, et al.. (1994). Analysis of Oct2‐Isoform Expression in Lipopolysaccharide‐Stimulated B Lymphocytes. Scandinavian Journal of Immunology. 39(6). 526–532. 2 indexed citations

18.

Sigvardsson, Mikael & Tomas Leanderson. (1994). Positive transcriptional control elements within the SP6 κ promoter decamer 3' flanking sequence. Molecular Immunology. 31(13). 1005–1016. 13 indexed citations

19.

Källberg, Eva, David Gray, & Tomas Leanderson. (1994). Kinetics of Somatic Mutation in Lymph Node Germinal Centres. Scandinavian Journal of Immunology. 40(5). 469–480. 5 indexed citations

20.

Leanderson, Tomas & Erik Lundgren. (1982). Growth Inhibition by IFN Achieved by Collecting Cells in G ₀. Journal of Interferon Research. 2(1). 21–29. 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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