Fitim Berisha

3.1k total citations · 1 hit paper
16 papers, 2.0k citations indexed

About

Fitim Berisha is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Oral Surgery. According to data from OpenAlex, Fitim Berisha has authored 16 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Rheumatology, 13 papers in Pulmonary and Respiratory Medicine and 3 papers in Oral Surgery. Recurrent topics in Fitim Berisha's work include Sarcoma Diagnosis and Treatment (13 papers), Bone Tumor Diagnosis and Treatments (11 papers) and Soft tissue tumor case studies (3 papers). Fitim Berisha is often cited by papers focused on Sarcoma Diagnosis and Treatment (13 papers), Bone Tumor Diagnosis and Treatments (11 papers) and Soft tissue tumor case studies (3 papers). Fitim Berisha collaborates with scholars based in United Kingdom, Switzerland and Netherlands. Fitim Berisha's co-authors include Adrienne M. Flanagan, Roberto Tirabosco, Maria Fernanda Amary, Nadège Presneau, Paul O’Donnell, Dina Halai, P. Andrew Futreal, Stephen Damato, Malihe Eskandarpour and Tim C. Diss and has published in prestigious journals such as Nature Genetics, Scientific Reports and The American Journal of Surgical Pathology.

In The Last Decade

Fitim Berisha

16 papers receiving 1.9k citations

Hit Papers

IDH1 and IDH2 mutations are frequent events in central ch... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fitim Berisha United Kingdom 16 1.1k 1.0k 510 505 405 16 2.0k
Maria Fernanda Amary United Kingdom 13 929 0.8× 824 0.8× 508 1.0× 550 1.1× 256 0.6× 21 1.8k
Paul O’Donnell United Kingdom 22 1.3k 1.1× 1.3k 1.2× 423 0.8× 443 0.9× 395 1.0× 53 2.2k
Dina Halai United Kingdom 9 803 0.7× 742 0.7× 539 1.1× 552 1.1× 297 0.7× 11 1.6k
Nadège Presneau United Kingdom 22 1.4k 1.2× 1.4k 1.3× 713 1.4× 903 1.8× 648 1.6× 33 2.7k
Nischalan Pillay United Kingdom 24 840 0.7× 650 0.6× 393 0.8× 600 1.2× 307 0.8× 45 1.6k
Arjen H.G. Cleven Netherlands 23 729 0.6× 488 0.5× 247 0.5× 363 0.7× 198 0.5× 67 1.5k
Robin Pollock United Kingdom 14 576 0.5× 454 0.4× 336 0.7× 271 0.5× 149 0.4× 23 1.1k
Tiziana Negri Italy 32 1.8k 1.6× 1.0k 1.0× 209 0.4× 678 1.3× 441 1.1× 69 3.1k
Tsuyoshi Ishida Japan 25 1.1k 1.0× 969 0.9× 129 0.3× 476 0.9× 267 0.7× 100 2.1k
Stephen Damato United Kingdom 6 490 0.4× 423 0.4× 419 0.8× 362 0.7× 107 0.3× 17 1.1k

Countries citing papers authored by Fitim Berisha

Since Specialization
Citations

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

Fields of papers citing papers by Fitim Berisha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fitim Berisha

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

All Works

16 of 16 papers shown
1.
Amary, Fernanda, Hongtao Ye, Lucia Cottone, et al.. (2019). Synovial chondromatosis and soft tissue chondroma: extraosseous cartilaginous tumor defined by FN1 gene rearrangement. Modern Pathology. 32(12). 1762–1771. 64 indexed citations
2.
Amary, Fernanda, Eva Markert, Fitim Berisha, et al.. (2019). FOS Expression in Osteoid Osteoma and Osteoblastoma. The American Journal of Surgical Pathology. 43(12). 1661–1667. 46 indexed citations
3.
Laura, Anna Di, Paul D. Quinn, Vasiliki C. Panagiotopoulou, et al.. (2017). The Chemical Form of Metal Species Released from Corroded Taper Junctions of Hip Implants: Synchrotron Analysis of Patient Tissue. Scientific Reports. 7(1). 10952–10952. 27 indexed citations
4.
Amary, Fernanda, Fitim Berisha, Hongtao Ye, et al.. (2017). H3F3A (Histone 3.3) G34W Immunohistochemistry. The American Journal of Surgical Pathology. 41(8). 1059–1068. 155 indexed citations
5.
Amary, Maria Fernanda, Fitim Berisha, Rebecca Gibbons, et al.. (2016). The H3F3 K36M mutant antibody is a sensitive and specific marker for the diagnosis of chondroblastoma. Histopathology. 69(1). 121–127. 87 indexed citations
6.
Aitken, Sarah J., Nadège Presneau, Sangeetha Kalimuthu, et al.. (2015). Next-generation sequencing is highly sensitive for the detection of beta-catenin mutations in desmoid-type fibromatoses. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 467(2). 203–210. 33 indexed citations
7.
Amary, Maria Fernanda, Hongtao Ye, Fitim Berisha, et al.. (2014). Fibroblastic growth factor receptor 1 amplification in osteosarcoma is associated with poor response to neo‐adjuvant chemotherapy. Cancer Medicine. 3(4). 980–987. 50 indexed citations
8.
Amary, Maria Fernanda, Paul O’Donnell, Fitim Berisha, et al.. (2013). Pseudomyogenic (epithelioid sarcoma-like) hemangioendothelioma: characterization of five cases. Skeletal Radiology. 42(7). 947–957. 39 indexed citations
9.
Nelson, Andrew C., Nischalan Pillay, Stephen Henderson, et al.. (2012). An integrated functional genomics approach identifies the regulatory network directed by brachyury (T) in chordoma. The Journal of Pathology. 228(3). 274–285. 70 indexed citations
10.
Diaz, Roberto J., Rocco Romagnuolo, Christian A. Smith, et al.. (2012). High-resolution Whole-Genome Analysis of Skull Base Chordomas Implicates FHIT Loss in Chordoma Pathogenesis. Neoplasia. 14(9). 788–IN4. 31 indexed citations
11.
Pillay, Nischalan, Vincent Plagnol, Patrick Tarpey, et al.. (2012). A common single-nucleotide variant in T is strongly associated with chordoma. Nature Genetics. 44(11). 1185–1187. 92 indexed citations
12.
Amary, Maria Fernanda, Francesca Maggiani, Stephen Damato, et al.. (2011). IDH1 and IDH2 mutations are frequent events in central chondrosarcoma and central and periosteal chondromas but not in other mesenchymal tumours. The Journal of Pathology. 224(3). 334–343. 716 indexed citations breakdown →
13.
Amary, Maria Fernanda, Stephen Damato, Dina Halai, et al.. (2011). Ollier disease and Maffucci syndrome are caused by somatic mosaic mutations of IDH1 and IDH2. Nature Genetics. 43(12). 1262–1265. 276 indexed citations
14.
Shalaby, Asem, Nadège Presneau, Hongtao Ye, et al.. (2010). The role of epidermal growth factor receptor in chordoma pathogenesis: a potential therapeutic target. The Journal of Pathology. 223(3). 336–346. 86 indexed citations
15.
Delaney, David, Tim C. Diss, Nadège Presneau, et al.. (2009). GNAS1 mutations occur more commonly than previously thought in intramuscular myxoma. Modern Pathology. 22(5). 718–724. 72 indexed citations
16.
Amary, Maria Fernanda, Fitim Berisha, Fabı́ola Del Carlo Bernardi, et al.. (2007). Detection of SS18-SSX fusion transcripts in formalin-fixed paraffin-embedded neoplasms: analysis of conventional RT-PCR, qRT-PCR and dual color FISH as diagnostic tools for synovial sarcoma. Modern Pathology. 20(4). 482–496. 126 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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