Leila Jeskanen

2.2k total citations
39 papers, 1.1k citations indexed

About

Leila Jeskanen is a scholar working on Oncology, Cancer Research and Dermatology. According to data from OpenAlex, Leila Jeskanen has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 13 papers in Cancer Research and 11 papers in Dermatology. Recurrent topics in Leila Jeskanen's work include Protease and Inhibitor Mechanisms (12 papers), Peptidase Inhibition and Analysis (8 papers) and Skin Protection and Aging (5 papers). Leila Jeskanen is often cited by papers focused on Protease and Inhibitor Mechanisms (12 papers), Peptidase Inhibition and Analysis (8 papers) and Skin Protection and Aging (5 papers). Leila Jeskanen collaborates with scholars based in Finland, Sweden and Germany. Leila Jeskanen's co-authors include Ulpu Saarialho‐Kere, Annamari Ranki, Jorma Keski‐Oja, Erja Kerkelä, Reidar Grénman, Veli‐Matti Kähäri, Ulla Impola, Risto Ala‐aho, Tiina Skoog and Taina Hasan and has published in prestigious journals such as PLoS ONE, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Leila Jeskanen

39 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leila Jeskanen Finland 21 331 308 248 213 161 39 1.1k
Hiromaro Kiryu Japan 15 129 0.4× 460 1.5× 332 1.3× 389 1.8× 325 2.0× 59 1.4k
K Mukai Japan 20 153 0.5× 452 1.5× 355 1.4× 168 0.8× 194 1.2× 41 1.3k
Shoshana Greenberger Israel 23 104 0.3× 317 1.0× 434 1.8× 120 0.6× 193 1.2× 94 1.5k
Davor Tomas Croatia 21 181 0.5× 301 1.0× 442 1.8× 59 0.3× 88 0.5× 106 1.3k
Keiji Kikuchi Japan 14 100 0.3× 203 0.7× 391 1.6× 126 0.6× 91 0.6× 26 859
María Jiménez Spain 20 667 2.0× 529 1.7× 903 3.6× 85 0.4× 338 2.1× 29 1.9k
Martin Hafner Germany 13 250 0.8× 203 0.7× 643 2.6× 100 0.5× 786 4.9× 17 1.8k
Peter Janson Sweden 10 505 1.5× 222 0.7× 584 2.4× 147 0.7× 662 4.1× 13 1.4k
Tianling Wei Sweden 11 714 2.2× 263 0.9× 690 2.8× 239 1.1× 520 3.2× 12 1.4k
Giovanna Bianchi‐Scarrà Italy 21 346 1.0× 711 2.3× 704 2.8× 253 1.2× 216 1.3× 70 1.4k

Countries citing papers authored by Leila Jeskanen

Since Specialization
Citations

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

Fields of papers citing papers by Leila Jeskanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Jeskanen

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Jeskanen. A scholar is included among the top collaborators of Leila Jeskanen 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 Leila Jeskanen. Leila Jeskanen 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
2.
Jeskanen, Leila, Heikki Saari, Sari Koskenmies, et al.. (2022). Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours—A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and Convolutional Neural Networks. Journal of Clinical Medicine. 11(7). 1914–1914. 17 indexed citations
3.
Neittaanmäki, Noora, et al.. (2019). Ablative fractional laser‐assisted photodynamic therapy for lentigo maligna: a prospective pilot study. Journal of the European Academy of Dermatology and Venereology. 34(3). 510–517. 8 indexed citations
4.
Kluger, Nicolas, et al.. (2019). Borréliose de Lyme mimant une chrondrite de l’oreille. Annales de Dermatologie et de Vénéréologie. 146(8-9). 596–599. 1 indexed citations
5.
Neittaanmäki, Noora, et al.. (2018). Hyperspectral imaging system in the delineation of Ill‐defined basal cell carcinomas: a pilot study. Journal of the European Academy of Dermatology and Venereology. 33(1). 71–78. 22 indexed citations
6.
Maliniemi, Pilvi, Liisa Väkevä, Katja Dettmer, et al.. (2017). Biological and clinical significance of tryptophan-catabolizing enzymes in cutaneous T-cell lymphomas. OncoImmunology. 6(3). e1273310–e1273310. 25 indexed citations
7.
Kluger, Nicolas, et al.. (2014). Melanoma on Tattoos: Two Finnish Cases. Acta Dermato Venereologica. 94(3). 325–326. 9 indexed citations
8.
Maliniemi, Pilvi, Sonja Hahtola, Kristian Ovaska, et al.. (2014). Molecular characterization of subcutaneous panniculitis-like T-cell lymphoma reveals upregulation of immunosuppression- and autoimmunity-associated genes. Orphanet Journal of Rare Diseases. 9(1). 160–160. 13 indexed citations
9.
Maliniemi, Pilvi, Kristian Ovaska, Kirsi Niiranen, et al.. (2011). NAV3 copy number changes and target genes in basal and squamous cell cancers. Experimental Dermatology. 20(11). 926–931. 13 indexed citations
10.
Suomela, Sari, Outi Elomaa, Tiina Skoog, et al.. (2009). CCHCR1 Is Up-Regulated in Skin Cancer and Associated with EGFR Expression. PLoS ONE. 4(6). e6030–e6030. 29 indexed citations
11.
Hahtola, Sonja, Elke Burghart, Leila Jeskanen, et al.. (2008). Clinicopathological Characterization and Genomic Aberrations in Subcutaneous Panniculitis-Like T-Cell Lymphoma. Journal of Investigative Dermatology. 128(9). 2304–2309. 31 indexed citations
12.
Skoog, Tiina, et al.. (2007). Expression of Allograft Inflammatory Factor-1 in Inflammatory Skin Disorders. Acta Dermato Venereologica. 87(3). 223–227. 21 indexed citations
13.
Jeskanen, Leila, et al.. (2007). Expression of MMP‐9, MMP‐10 and TNF‐α and lack of epithelial MMP‐1 and MMP‐26 characterize pyoderma gangrenosum. Journal of Cutaneous Pathology. 34(12). 889–898. 32 indexed citations
14.
Skoog, Tiina, et al.. (2006). MMP‐21 is expressed by macrophages and fibroblasts in vivo and in culture. Experimental Dermatology. 15(10). 775–783. 30 indexed citations
15.
Impola, Ulla, Leila Jeskanen, Laura Ravanti, et al.. (2005). Expression of matrix metalloproteinase (MMP)-7 and MMP-13 and loss of MMP-19 and p16 are associated with malignant progression in chronic wounds. British Journal of Dermatology. 152(4). 720–726. 73 indexed citations
16.
Impola, Ulla, Mervi Toriseva, Sari Suomela, et al.. (2002). Matrix metalloproteinase‐19 is expressed by proliferating epithelium but disappears with neoplastic dedifferentiation. International Journal of Cancer. 103(6). 709–716. 54 indexed citations
17.
Kerkelä, Erja, Risto Ala‐aho, Leila Jeskanen, et al.. (2001). Differential patterns of stromelysin-2 (MMP-10) and MT1-MMP (MMP-14) expression in epithelial skin cancers. British Journal of Cancer. 84(5). 659–669. 75 indexed citations
18.
Kerkelä, Erja, Risto Ala‐aho, Leila Jeskanen, et al.. (2000). Expression of Human Macrophage Metalloelastase (MMP-12) by Tumor Cells in Skin Cancer. Journal of Investigative Dermatology. 114(6). 1113–1119. 82 indexed citations
19.
Lymboussaki, Athina, Arja Kaipainen, E Hatva, et al.. (1996). Expression of Mad, an antagonist of Myc oncoprotein function, in differentiating keratinocytes during tumorigenesis of the skin. British Journal of Cancer. 73(11). 1347–1355. 24 indexed citations
20.
Lassus, A, et al.. (1989). Ciprofloxacin versus amoxycillin and probenecid in the treatment of uncomplicated gonorrhoea.. PubMed. 60. 58–61. 5 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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