Iris Moll

3.8k total citations · 1 hit paper
28 papers, 2.5k citations indexed

About

Iris Moll is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Iris Moll has authored 28 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Immunology. Recurrent topics in Iris Moll's work include Cutaneous Melanoma Detection and Management (3 papers), CAR-T cell therapy research (3 papers) and Developmental Biology and Gene Regulation (3 papers). Iris Moll is often cited by papers focused on Cutaneous Melanoma Detection and Management (3 papers), CAR-T cell therapy research (3 papers) and Developmental Biology and Gene Regulation (3 papers). Iris Moll collaborates with scholars based in Germany, United States and Spain. Iris Moll's co-authors include Dirk Schadendorf, Antje Sucker, Susanne Horn, Kari Hemminki, Eduardo Nagore, Rajiv Kumar, Christine Fischer, P. Sivaramakrishna Rachakonda, Andreas Gast and Adina Figl and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Iris Moll

28 papers receiving 2.5k citations

Hit Papers

TERT Promoter Mutations in Familial and Sporadic Melanoma 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris Moll Germany 19 1.3k 881 543 466 450 28 2.5k
Patrizia Gasparini Italy 23 2.3k 1.8× 1.4k 1.6× 278 0.5× 566 1.2× 576 1.3× 71 3.4k
Mats Ehinger Sweden 30 1.5k 1.2× 847 1.0× 426 0.8× 380 0.8× 267 0.6× 86 3.2k
Borja Sáez United States 22 1.7k 1.3× 422 0.5× 492 0.9× 186 0.4× 432 1.0× 41 2.8k
Maike Jaworski Germany 14 1.1k 0.9× 496 0.6× 931 1.7× 248 0.5× 424 0.9× 18 2.6k
Adina Figl Germany 7 909 0.7× 535 0.6× 187 0.3× 389 0.8× 285 0.6× 8 1.6k
Yu-Jui Ho United States 21 2.6k 2.0× 1.2k 1.4× 1.3k 2.3× 658 1.4× 492 1.1× 41 4.5k
Matthew J. Grimshaw United Kingdom 17 602 0.5× 469 0.5× 361 0.7× 234 0.5× 432 1.0× 21 1.6k
Barry Grimes United States 14 1.5k 1.1× 754 0.9× 537 1.0× 199 0.4× 309 0.7× 17 2.5k
Kolja Eppert Canada 16 1.8k 1.4× 841 1.0× 605 1.1× 101 0.2× 491 1.1× 27 3.1k
Valerie Gouon–Evans United States 22 1.4k 1.1× 720 0.8× 709 1.3× 238 0.5× 257 0.6× 32 3.0k

Countries citing papers authored by Iris Moll

Since Specialization
Citations

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

Fields of papers citing papers by Iris Moll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Moll

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Moll. A scholar is included among the top collaborators of Iris Moll 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 Iris Moll. Iris Moll 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.
Hasan, Sana S., David John, Martina Rudnicki, et al.. (2025). Obesity drives depot-specific vascular remodeling in male white adipose tissue. Nature Communications. 16(1). 5392–5392. 1 indexed citations
2.
Rigotti, Francesca, Elisa Donato, Elisa Espinet, et al.. (2023). HAPLN1 potentiates peritoneal metastasis in pancreatic cancer. Nature Communications. 14(1). 2353–2353. 24 indexed citations
3.
Alsina‐Sanchís, Elisenda, Iris Moll, Jacqueline Taylor, et al.. (2022). Endothelial RBPJ Is Essential for the Education of Tumor-Associated Macrophages. Cancer Research. 82(23). 4414–4428. 17 indexed citations
4.
Alsina‐Sanchís, Elisenda, et al.. (2020). Intraperitoneal Oil Application Causes Local Inflammation with Depletion of Resident Peritoneal Macrophages. Molecular Cancer Research. 19(2). 288–300. 20 indexed citations
5.
Klose, Ralph, Fabian Tetzlaff, Iris Moll, et al.. (2019). Loss of the serine protease HTRA1 impairs smooth muscle cells maturation. Scientific Reports. 9(1). 18224–18224. 16 indexed citations
6.
Klose, Ralph, Mohamed Adam, Iris Moll, et al.. (2018). Inactivation of the serine protease HTRA1 inhibits tumor growth by deregulating angiogenesis. Oncogene. 37(31). 4260–4272. 27 indexed citations
7.
Rodríguez‐Vita, Juan, Sven S. Liebler, Carolin Mogler, et al.. (2017). Endothelial Notch1 Activity Facilitates Metastasis. Cancer Cell. 31(3). 355–367. 232 indexed citations
8.
Feldner, Anja, Mohamed Adam, Fabian Tetzlaff, et al.. (2017). Loss of Mpdz impairs ependymal cell integrity leading to perinatal‐onset hydrocephalus in mice. EMBO Molecular Medicine. 9(7). 890–905. 39 indexed citations
9.
Klose, Ralph, Caroline Berger, Iris Moll, et al.. (2015). Soluble Notch ligand and receptor peptides act antagonistically during angiogenesis. Cardiovascular Research. 107(1). 153–163. 18 indexed citations
10.
Klose, Ralph, et al.. (2015). ANKS1B Interacts with the Cerebral Cavernous Malformation Protein-1 and Controls Endothelial Permeability but Not Sprouting Angiogenesis. PLoS ONE. 10(12). e0145304–e0145304. 9 indexed citations
11.
Sucker, Antje, Fang Zhao, Birgit Real, et al.. (2014). Genetic Evolution of T-cell Resistance in the Course of Melanoma Progression. Clinical Cancer Research. 20(24). 6593–6604. 127 indexed citations
12.
Horn, Susanne, Adina Figl, P. Sivaramakrishna Rachakonda, et al.. (2013). TERT Promoter Mutations in Familial and Sporadic Melanoma. Science. 339(6122). 959–961. 1267 indexed citations breakdown →
13.
Griewank, Klaus, Johannes van de Nes, Bastian Schilling, et al.. (2013). Genetic and clinico-pathologic analysis of metastatic uveal melanoma. Modern Pathology. 27(2). 175–183. 68 indexed citations
14.
Griewank, Klaus, Rajmohan Murali, Bastian Schilling, et al.. (2013). TERT Promoter Mutations Are Frequent in Cutaneous Basal Cell Carcinoma and Squamous Cell Carcinoma. PLoS ONE. 8(11). e80354–e80354. 73 indexed citations
15.
Lenci, Romina, Melanie Bevier, Andreas Brandt, et al.. (2012). Influence of Genetic Variants in Type I Interferon Genes on Melanoma Survival and Therapy. PLoS ONE. 7(11). e50692–e50692. 14 indexed citations
16.
Schimming, Tobias, Florian Grabellus, Sonali Pechlivanis, et al.. (2011). pHH3 Immunostaining Improves Interobserver Agreement of Mitotic Index in Thin Melanomas. American Journal of Dermatopathology. 34(3). 266–269. 42 indexed citations
17.
Hassel, J.C., Antje Sucker, Lutz Edler, et al.. (2010). MGMT gene promoter methylation correlates with tolerance of temozolomide treatment in melanoma but not with clinical outcome. British Journal of Cancer. 103(6). 820–826. 38 indexed citations
18.
Kiehn, Margret, et al.. (2001). Management of insulin allergy. Allergy. 56(9). 919–920. 16 indexed citations
19.
Moll, Iris, et al.. (1994). Semiquantitative Aspects of Mast Cells in Normal Skin and in Neurofibromas of Neurofibromatosis Types 1 and 5. Dermatology. 188(4). 296–299. 20 indexed citations
20.
Moll, R., Iris Moll, & Werner W. Franke. (1986). [Intermediate filaments as a criterion in the diagnosis of skin tumors].. PubMed. 7(3). 164–74. 9 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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