D. de Weck

985 total citations · 1 hit paper
6 papers, 715 citations indexed

About

D. de Weck is a scholar working on Oncology, Pathology and Forensic Medicine and Reproductive Medicine. According to data from OpenAlex, D. de Weck has authored 6 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 2 papers in Pathology and Forensic Medicine and 2 papers in Reproductive Medicine. Recurrent topics in D. de Weck's work include Viral-associated cancers and disorders (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). D. de Weck is often cited by papers focused on Viral-associated cancers and disorders (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). D. de Weck collaborates with scholars based in Switzerland, Germany and United States. D. de Weck's co-authors include T. Fisch, Andrea Bordoni, Fabio Levi, Gernot Jundt, Jerry Polesel, Elisabetta Rapiti, Martin Rickenbach, Luigino Dal Maso, Gary M. Clifford and Silvia Franceschi and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Annals of Oncology and Epidemiology.

In The Last Decade

D. de Weck

6 papers receiving 689 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cancer Risk in the Swiss HIV Cohort Study: Associations With Immunodeficiency, Smoking, and Highly Active Antiretroviral Therapy

2005 620 citations Gary M. Clifford, Jerry Polesel et al. JNCI Journal of the National Cancer Institute profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. de Weck Switzerland	5	477	275	187	141	109	6	715
T. Fisch Switzerland	4	480 1.0×	281 1.0×	195 1.0×	141 1.0×	108 1.0×	4	717
Tara Hylton United States	4	429 0.9×	239 0.9×	186 1.0×	99 0.7×	85 0.8×	5	658
M. Lise Italy	11	460 1.0×	344 1.3×	188 1.0×	110 0.8×	246 2.3×	18	812
Clifford Gunthel United States	13	288 0.6×	196 0.7×	94 0.5×	124 0.9×	51 0.5×	22	468
Mathew Simcock Switzerland	18	272 0.6×	188 0.7×	112 0.6×	178 1.3×	137 1.3×	46	926
Moosa Patel South Africa	13	563 1.2×	337 1.2×	213 1.1×	175 1.2×	119 1.1×	46	850
C. S. Rabkin United States	10	296 0.6×	136 0.5×	227 1.2×	79 0.6×	79 0.7×	12	511
Philippe Hermans Belgium	14	367 0.8×	198 0.7×	157 0.8×	389 2.8×	57 0.5×	37	913
J. A. Gastaut France	18	232 0.5×	202 0.7×	192 1.0×	199 1.4×	46 0.4×	40	937
Eliane Rohner Switzerland	13	299 0.6×	269 1.0×	81 0.4×	77 0.5×	67 0.6×	40	505

Countries citing papers authored by D. de Weck

Since Specialization

Citations

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

Fields of papers citing papers by D. de Weck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. de Weck. 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 D. de Weck. The network helps show where D. de Weck may publish in the future.

Co-authorship network of co-authors of D. de Weck

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Bulliard, Jean‐Luc, D. de Weck, T. Fisch, Andrea Bordoni, & Fabio Levi. (2007). Detailed site distribution of melanoma and sunlight exposure: aetiological patterns from a Swiss series. Annals of Oncology. 18(4). 789–794. 42 indexed citations

2.

Petignat, Patrick, D. de Weck, Frédéric Goffin, et al.. (2006). Long-Term Survival of Patients with Apparent Early-Stage (FIGO I–II) Epithelial Ovarian Cancer: A Population-Based Study. Gynecologic and Obstetric Investigation. 63(3). 132–136. 6 indexed citations

3.

Luthi, Jean‐Christophe, et al.. (2006). Residential Radon and Lung Cancer: Results Form an Ecologic Study in the Swiss Alps. Epidemiology. 17(Suppl). S313–S313. 5 indexed citations

4.

Clifford, Gary M., Jerry Polesel, Martin Rickenbach, et al.. (2005). Cancer Risk in the Swiss HIV Cohort Study: Associations With Immunodeficiency, Smoking, and Highly Active Antiretroviral Therapy. JNCI Journal of the National Cancer Institute. 97(6). 425–432. 620 indexed citations breakdown →

5.

Fisch, T., Andrea Bordoni, Christine Bouchardy, et al.. (2005). Variation in survival after diagnosis of breast cancer in Switzerland. Annals of Oncology. 16(12). 1882–1888. 40 indexed citations

6.

Petignat, Patrick, Mark W. Stalder, Julia Rey, et al.. (1999). Advanced-Stage (FIGO III–IV) Epithelial Ovarian Cancer: Multivariate Analysis of Prognostic Factors in an Area without a Tertiary Referral Oncology Center. A Population-Based Study. Oncology Research and Treatment. 22(5). 406–410. 2 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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