Sandra Lilja

741 total citations
12 papers, 366 citations indexed

About

Sandra Lilja is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sandra Lilja has authored 12 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Oncology. Recurrent topics in Sandra Lilja's work include Single-cell and spatial transcriptomics (4 papers), Gene Regulatory Network Analysis (2 papers) and Systemic Lupus Erythematosus Research (2 papers). Sandra Lilja is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Gene Regulatory Network Analysis (2 papers) and Systemic Lupus Erythematosus Research (2 papers). Sandra Lilja collaborates with scholars based in Sweden, South Korea and China. Sandra Lilja's co-authors include Xinxiu Li, Huan Zhang, Samuel Schäfer, Mikael Benson, Oleg Sysoev, Danuta R. Gawel, Margaretha Stenmarker, Andreas Matussek, Per Sandström and Mika Gustafsson and has published in prestigious journals such as Scientific Reports, Cytokine and Genome Medicine.

In The Last Decade

Sandra Lilja

10 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Lilja Sweden 7 104 94 82 52 32 12 366
Samuel Schäfer Sweden 7 104 1.0× 92 1.0× 79 1.0× 52 1.0× 31 1.0× 14 371
Danuta R. Gawel Sweden 8 104 1.0× 94 1.0× 160 2.0× 52 1.0× 30 0.9× 14 472
David Martínez-Enguita Sweden 4 90 0.9× 78 0.8× 60 0.7× 50 1.0× 26 0.8× 7 296
Margaretha Stenmarker Sweden 4 90 0.9× 78 0.8× 58 0.7× 50 1.0× 27 0.8× 7 309
Jessica Gliozzo Italy 8 105 1.0× 27 0.3× 62 0.8× 9 0.2× 17 0.5× 21 279
Mona Malekzadeh Iran 9 28 0.3× 20 0.2× 32 0.4× 19 0.4× 37 1.2× 30 393
Rusong Meng China 12 23 0.2× 77 0.8× 43 0.5× 20 0.4× 48 1.5× 29 580
Huiqin Jiang China 12 22 0.2× 34 0.4× 72 0.9× 5 0.1× 52 1.6× 55 413
Chengyue Wu United States 12 31 0.3× 111 1.2× 46 0.6× 36 0.7× 275 8.6× 41 509
Ramón Viñas United Kingdom 6 22 0.2× 26 0.3× 134 1.6× 41 0.8× 187 5.8× 9 523

Countries citing papers authored by Sandra Lilja

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Lilja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Lilja

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

All Works

12 of 12 papers shown
1.
Schäfer, Samuel, Oleg Sysoev, Sandra Lilja, et al.. (2024). scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases. Genome Medicine. 16(1). 42–42. 7 indexed citations
2.
Lilja, Sandra, Xinxiu Li, Eun Jung Lee, et al.. (2023). Multi-organ single-cell analysis reveals an on/off switch system with potential for personalized treatment of immunological diseases. Cell Reports Medicine. 4(3). 100956–100956. 12 indexed citations
3.
Li, Xinxiu, Eun Jung Lee, Sandra Lilja, et al.. (2022). A dynamic single cell-based framework for digital twins to prioritize disease genes and drug targets. Genome Medicine. 14(1). 48–48. 37 indexed citations
4.
Lilja, Sandra. (2022). Digital Twins : High Resolution Disease Models for Optimized Diagnosis and Treatment. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
5.
Sysoev, Oleg, Danuta R. Gawel, Sandra Lilja, Samuel Schäfer, & Mikael Benson. (2021). Cell type identification for single cell RNA data by bulk data reference projection. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 742–746. 1 indexed citations
6.
Li, Xinxiu, Eun Jung Lee, Sandra Lilja, et al.. (2020). Meta‐Analysis of Expression Profiling Data Indicates Need for Combinatorial Biomarkers in Pediatric Ulcerative Colitis. Journal of Immunology Research. 2020(1). 8279619–8279619. 11 indexed citations
7.
Gawel, Danuta R., et al.. (2020). Analysis of expression profiling data suggests explanation for difficulties in finding biomarkers for nasal polyps. Rhinology Journal. 58(4). 360–367. 4 indexed citations
8.
Björnsson, Bergþór, Carl Borrebaeck, Nils Elander, et al.. (2019). Digital twins to personalize medicine. Genome Medicine. 12(1). 258 indexed citations
9.
10.
Lee, Eun Jung, Xinxiu Li, Sandra Lilja, et al.. (2019). An algorithm-based meta-analysis of genome- and proteome-wide data identifies a combination of potential plasma biomarkers for colorectal cancer. Scientific Reports. 9(1). 15575–15575. 16 indexed citations
11.
Lilja, Sandra. (2015). The association of the genes HvNAM1 and HvNAM2 with grain protein content in Nordic barley. KTH Publication Database DiVA (KTH Royal Institute of Technology).
12.
Lilja, Sandra, et al.. (2006). Women in Middle Management : in Germany, Sweden and the United Kingdom. KTH Publication Database DiVA (KTH Royal Institute of Technology).

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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