Melanie Weigert

701 total citations
10 papers, 444 citations indexed

About

Melanie Weigert is a scholar working on Molecular Biology, Immunology and Reproductive Medicine. According to data from OpenAlex, Melanie Weigert has authored 10 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Reproductive Medicine. Recurrent topics in Melanie Weigert's work include Ovarian cancer diagnosis and treatment (3 papers), Single-cell and spatial transcriptomics (2 papers) and Reproductive System and Pregnancy (2 papers). Melanie Weigert is often cited by papers focused on Ovarian cancer diagnosis and treatment (3 papers), Single-cell and spatial transcriptomics (2 papers) and Reproductive System and Pregnancy (2 papers). Melanie Weigert collaborates with scholars based in United States, Germany and Denmark. Melanie Weigert's co-authors include Carlos Ribeiro, J. Andrew Pospisilik, Anita Öst, Nikolaus Rajewsky, Günter Reuter, Nicola Iovino, Mattias Alenius, Tanya Vavouri, Eduard Casas and Lorena Pantano and has published in prestigious journals such as Cell, Nature Communications and Cancer Cell.

In The Last Decade

Melanie Weigert

10 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Melanie Weigert United States	7	266	100	70	56	50	10	444
Adelheid Lempradl United States	10	379 1.4×	114 1.1×	115 1.6×	63 1.1×	89 1.8×	16	655
Yixing Han United States	10	455 1.7×	79 0.8×	86 1.2×	16 0.3×	33 0.7×	11	598
Mikhail Yu. Vysokikh Russia	14	296 1.1×	105 1.1×	24 0.3×	18 0.3×	49 1.0×	30	541
Christine Lafleur Canada	8	505 1.9×	195 1.9×	181 2.6×	34 0.6×	17 0.3×	13	701
Tomislav Modric United States	8	150 0.6×	29 0.3×	75 1.1×	54 1.0×	55 1.1×	11	382
Paul Blakeley United Kingdom	9	807 3.0×	103 1.0×	140 2.0×	13 0.2×	33 0.7×	13	953
Yixuan Guo United States	6	374 1.4×	26 0.3×	150 2.1×	26 0.5×	57 1.1×	6	653
Atsuhiko Sakai Japan	7	386 1.5×	53 0.5×	97 1.4×	26 0.5×	17 0.3×	10	505
Federica Zacchini Italy	14	211 0.8×	175 1.8×	91 1.3×	11 0.2×	23 0.5×	26	486
Katie M. Lowther United States	13	241 0.9×	56 0.6×	45 0.6×	24 0.4×	23 0.5×	19	449

Countries citing papers authored by Melanie Weigert

Since Specialization

Citations

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

Fields of papers citing papers by Melanie Weigert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melanie Weigert

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

All Works

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10 of 10 papers shown

Weigert, Melanie, Yan Li, Heather Eckart, et al.. (2025). A cell atlas of the human fallopian tube throughout the menstrual cycle and menopause. Nature Communications. 16(1). 372–372. 4 indexed citations

Coscia, Fabian, Annelaura Bach Nielsen, Melanie Weigert, et al.. (2025). A Proteogenomic View of Synchronous Endometrioid Endometrial and Ovarian Cancer. Clinical Cancer Research. 31(11). 2230–2240. 1 indexed citations

Ko, Song Yi, et al.. (2025). Neutrophil extracellular traps promote pre-metastatic niche formation in the omentum by expanding innate-like B cells that express IL-10. Cancer Cell. 43(1). 69–85.e11. 12 indexed citations

Weigert, Melanie, Xiaolong Cui, Diana C. West-Szymanski, et al.. (2024). 5-Hydroxymethylcytosine signals in serum are a predictor of chemoresistance in high-grade serous ovarian cancer. Gynecologic Oncology. 182. 82–90. 2 indexed citations

Longman, Ryan E., et al.. (2023). Diagnostic Performance of Ultrasonography-Based Risk Models in Differentiating Between Benign and Malignant Ovarian Tumors in a US Cohort. JAMA Network Open. 6(7). e2323289–e2323289. 13 indexed citations

Ko, Song Yi, et al.. (2023). The glycoprotein CD147 defines miRNA‐enriched extracellular vesicles that derive from cancer cells. Journal of Extracellular Vesicles. 12(4). e12318–e12318. 22 indexed citations

Lengyel, Ernst, Yan Li, Melanie Weigert, et al.. (2022). A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing. Cell Reports. 41(12). 111838–111838. 29 indexed citations

Hart, Peter C., Tatsuyuki Chiyoda, Xiaojing Liu, et al.. (2019). SPHK1 Is a Novel Target of Metformin in Ovarian Cancer. Molecular Cancer Research. 17(4). 870–881. 60 indexed citations

Weigert, Melanie, Suzanne Dowson, Elaine Leung, et al.. (2017). RIPK3 promotes adenovirus type 5 activity. Cell Death and Disease. 8(12). 3206–3206. 18 indexed citations

10.

Öst, Anita, Adelheid Lempradl, Eduard Casas, et al.. (2014). Paternal Diet Defines Offspring Chromatin State and Intergenerational Obesity. Cell. 159(6). 1352–1364. 283 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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