Gabriella Pichert

3.0k total citations
46 papers, 1.5k citations indexed

About

Gabriella Pichert is a scholar working on Genetics, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Gabriella Pichert has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 15 papers in Oncology and 14 papers in Pathology and Forensic Medicine. Recurrent topics in Gabriella Pichert's work include BRCA gene mutations in cancer (15 papers), Lymphoma Diagnosis and Treatment (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Gabriella Pichert is often cited by papers focused on BRCA gene mutations in cancer (15 papers), Lymphoma Diagnosis and Treatment (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Gabriella Pichert collaborates with scholars based in Switzerland, United Kingdom and United States. Gabriella Pichert's co-authors include Rolf A. Stahel, Diana Eccles, L.M. Jost, A Shenton, D. Gareth Evans, Michele Ghielmini, Daniel Betticher, Francesco Bertoni, Doris Schmitter and Jerome Ritz and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Lancet Oncology.

In The Last Decade

Gabriella Pichert

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriella Pichert Switzerland 21 541 507 478 316 258 46 1.5k
Kerrington D. Smith United States 23 979 1.8× 321 0.6× 200 0.4× 681 2.2× 171 0.7× 50 2.2k
William Townsend United Kingdom 22 877 1.6× 897 1.8× 129 0.3× 194 0.6× 365 1.4× 68 1.8k
DC Linch United Kingdom 19 720 1.3× 949 1.9× 95 0.2× 179 0.6× 397 1.5× 37 1.5k
André Baruchel France 22 306 0.6× 199 0.4× 138 0.3× 516 1.6× 195 0.8× 45 1.7k
Agnès Chompret France 20 541 1.0× 219 0.4× 285 0.6× 550 1.7× 52 0.2× 49 1.7k
József Zsíros Netherlands 18 657 1.2× 493 1.0× 88 0.2× 443 1.4× 105 0.4× 49 1.9k
P. M. Kluin Netherlands 21 797 1.5× 1.0k 2.0× 80 0.2× 380 1.2× 431 1.7× 40 1.8k
Leslie E. Botnick United States 20 484 0.9× 594 1.2× 104 0.2× 183 0.6× 245 0.9× 31 1.6k
Carla Casulo United States 19 1.1k 2.0× 1.3k 2.6× 93 0.2× 244 0.8× 555 2.2× 95 1.9k
Anthony P. Conley United States 26 774 1.4× 240 0.5× 83 0.2× 320 1.0× 79 0.3× 119 1.9k

Countries citing papers authored by Gabriella Pichert

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Pichert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Pichert

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Pichert. A scholar is included among the top collaborators of Gabriella Pichert 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 Gabriella Pichert. Gabriella Pichert 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.
Pichert, Gabriella, et al.. (2011). Unexpected findings in cancer predisposition genes detected by array comparative genomic hybridisation: what are the issues?. Journal of Medical Genetics. 48(8). 535–539. 30 indexed citations
2.
Mallipeddi, R., et al.. (2011). Birt–Hogg–Dubé syndrome with a renal angiomyolipoma: Further evidence of a relationship between Birt–Hogg–Dubé syndrome and tuberous sclerosis complex. Australasian Journal of Dermatology. 53(2). 151–154. 14 indexed citations
3.
Pichert, Gabriella, Chris Jacobs, Ian Jacobs, et al.. (2010). Novel one-stop multidisciplinary follow-up clinic significantly improves cancer risk management in BRCA1/2 carriers. Familial Cancer. 9(3). 313–319. 17 indexed citations
4.
Antoniou, Antonis C., Rachel Hardy, Lyndon Walker, et al.. (2008). Predicting the likelihood of carrying a BRCA1 or BRCA2 mutation: validation of BOADICEA, BRCAPRO, IBIS, Myriad and the Manchester scoring system using data from UK genetics clinics. Journal of Medical Genetics. 45(7). 425–431. 137 indexed citations
5.
6.
Stirling, D., D. Gareth Evans, Gabriella Pichert, et al.. (2005). Screening for Familial Ovarian Cancer: Failure of Current Protocols to Detect Ovarian Cancer at an Early Stage According to the International Federation of Gynecology and Obstetrics System. Journal of Clinical Oncology. 23(24). 5588–5596. 117 indexed citations
7.
Sharp, Andrew J., Gabriella Pichert, Anneke Lucassen, & Diana Eccles. (2004). RNA analysis reveals splicing mutations and loss of expression defects inMLH1 andBRCA1. Human Mutation. 24(3). 272–272. 35 indexed citations
8.
Pichert, Gabriella. (2004). Harnessing the potential of cancer genetics in healthcare. The Lancet Oncology. 5(10). 626–632. 5 indexed citations
9.
Pichert, Gabriella, Daniel Dietrich, Peter Moosmann, et al.. (2003). Swiss primary care physicians' knowledge, attitudes and perception towards genetic testing for hereditary breast cancer. Familial Cancer. 2(3-4). 153–158. 32 indexed citations
10.
Olopade, Olufunmilayo I. & Gabriella Pichert. (2001). Cancer genetics in oncology practice. Annals of Oncology. 12(7). 895–908. 22 indexed citations
11.
Pichert, Gabriella, Shu-Fang Hsu Schmitz, U Hess, et al.. (2001). Weekly x 4 Induction Therapy with the Anti-CD20 Antibody Rituximab: Effect on Circulating t(14;18)+ Follicular Lymphoma Cells. Clinical Lymphoma. 1(4). 293–297. 5 indexed citations
12.
13.
Pichert, Gabriella, Doris Schmitter, L.M. Jost, et al.. (1998). Selection and immunomagnetic purging of peripheral blood CD34 + cells for autologous transplantation in B-cell non-Hodgkin’s lymphomas. Annals of Oncology. 9(1). 51–54. 7 indexed citations
14.
Schmitter, Doris, et al.. (1997). T-cell derived cytokines co-stimulate proliferation of CD40-activated germinal centre as well as follicular lymphoma cells. Hematological Oncology. 15(4). 197–207. 22 indexed citations
15.
Robertson, Michael J., Thomas Manley, Gabriella Pichert, et al.. (1995). Functional Consequences of APO-1/Fas (CD95) Antigen Expression by Normal and Neoplastic Hematopoietic Cells. Leukemia & lymphoma. 17(1-2). 51–61. 88 indexed citations
16.
Stahel, Rolf A., L.M. Jost, Thomas Cerny, et al.. (1994). Randomized study of recombinant human granulocyte colony-stimulating factor after high-dose chemotherapy and autologous bone marrow transplantation for high-risk lymphoid malignancies.. Journal of Clinical Oncology. 12(9). 1931–1938. 73 indexed citations
17.
Pichert, Gabriella, et al.. (1993). [5 years of dosage intensification and autologous bone marrow or peripheral stem cell transfusion in malignant lymphoma with a high risk of recurrence].. PubMed. 123(18). 932–40. 1 indexed citations
18.
19.
Jost, L.M., Gabriella Pichert, & R. Stahel. (1990). Original article: Placebo controlled phase I/II study of subcutaneous GM-CSF in patients with germ cell tumors undergoing chemotherapy. Annals of Oncology. 1(6). 439–442. 17 indexed citations
20.
Pichert, Gabriella, et al.. (1990). Thyroiditis after treatment with interleukin-2 and interferon α-2a. British Journal of Cancer. 62(1). 100–104. 55 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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