Katalin Gilde

1.7k total citations
30 papers, 1.3k citations indexed

About

Katalin Gilde is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Katalin Gilde has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 13 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Katalin Gilde's work include Cutaneous Melanoma Detection and Management (13 papers), Immunotherapy and Immune Responses (8 papers) and S100 Proteins and Annexins (7 papers). Katalin Gilde is often cited by papers focused on Cutaneous Melanoma Detection and Management (13 papers), Immunotherapy and Immune Responses (8 papers) and S100 Proteins and Annexins (7 papers). Katalin Gilde collaborates with scholars based in Hungary, Poland and Italy. Katalin Gilde's co-authors include József Tı́már, Zsuzsanna Fejôs, Andrea Ladányi, Beáta Somlai, István Gaudi, Anita Mohos, Judit Kiss, Gabriella Liszkay, J. Bonneterre and Jozef Šufliarský and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and European Journal of Cancer.

In The Last Decade

Katalin Gilde

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katalin Gilde Hungary 16 921 638 495 113 78 30 1.3k
A Houghton United States 9 632 0.7× 386 0.6× 534 1.1× 65 0.6× 125 1.6× 11 1.1k
Callum M. Sloss United States 19 915 1.0× 407 0.6× 797 1.6× 80 0.7× 41 0.5× 48 1.4k
Barbara Merelli Italy 18 826 0.9× 366 0.6× 313 0.6× 167 1.5× 74 0.9× 41 1.1k
Heidi Braumüller Germany 16 543 0.6× 908 1.4× 266 0.5× 53 0.5× 71 0.9× 27 1.3k
Antonio Daponte Italy 15 529 0.6× 254 0.4× 315 0.6× 71 0.6× 49 0.6× 37 843
T Castel Spain 20 833 0.9× 363 0.6× 554 1.1× 75 0.7× 148 1.9× 62 1.3k
Jean-Michel Vernes United States 12 552 0.6× 462 0.7× 613 1.2× 89 0.8× 77 1.0× 15 1.3k
Rodabe N. Amaria United States 21 1.4k 1.5× 563 0.9× 776 1.6× 286 2.5× 145 1.9× 117 1.8k
Nicole Brass Germany 15 346 0.4× 468 0.7× 566 1.1× 58 0.5× 45 0.6× 20 1.0k
Marnix H. Geukes Foppen Netherlands 12 795 0.9× 382 0.6× 589 1.2× 154 1.4× 110 1.4× 19 1.2k

Countries citing papers authored by Katalin Gilde

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Gilde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katalin Gilde

This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Gilde. A scholar is included among the top collaborators of Katalin Gilde 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 Katalin Gilde. Katalin Gilde 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.
Ladányi, Andrea, Judit Kiss, Anita Mohos, et al.. (2011). Prognostic impact of B-cell density in cutaneous melanoma. Cancer Immunology Immunotherapy. 60(12). 1729–1738. 138 indexed citations
2.
Ladányi, Andrea, Anita Mohos, Beáta Somlai, et al.. (2010). FOXP3+ Cell Density in Primary Tumor Has No Prognostic Impact in Patients with Cutaneous Malignant Melanoma. Pathology & Oncology Research. 16(3). 303–309. 48 indexed citations
3.
Kiss, Judit, József Tı́már, Beáta Somlai, et al.. (2007). Association of microvessel density with infiltrating cells in human cutaneous malignant melanoma. Pathology & Oncology Research. 13(1). 21–31. 27 indexed citations
4.
Ladányi, Andrea, Judit Kiss, Beáta Somlai, et al.. (2007). Density of DC-LAMP+ mature dendritic cells in combination with activated T lymphocytes infiltrating primary cutaneous melanoma is a strong independent prognostic factor. Cancer Immunology Immunotherapy. 56(9). 1459–1469. 219 indexed citations
5.
Gilde, Katalin. (2006). [Malignant tumors of the skin].. PubMed. 147(48). 2321–30. 10 indexed citations
6.
Liszkay, Gabriella, et al.. (2005). Relationship between sentinel lymph node status and regression of primary malignant melanoma. Melanoma Research. 15(6). 509–513. 21 indexed citations
7.
Fejôs, Zsuzsanna, et al.. (2005). [Etiologic factors of malignant melanoma in young adults].. PubMed. 146(28). 1481–7. 1 indexed citations
8.
Treszl, Andrea, Róza Ádány, Zsuzsa Rákosy, et al.. (2004). Extra copies of c‐myc are more pronounced in nodular melanomas than in superficial spreading melanomas as revealed by fluorescence in situ hybridisation. Cytometry Part B Clinical Cytometry. 60B(1). 37–46. 24 indexed citations
9.
Tı́már, József, et al.. (2004). Accuracy of the determination of S100B protein expression in malignant melanoma using polyclonal or monoclonal antibodies. Histopathology. 44(2). 180–184. 13 indexed citations
10.
Gilde, Katalin, et al.. (2004). [Role of S100B protein in neoplasms and other diseases].. PubMed. 48(1). 71–4. 5 indexed citations
11.
Liszkay, Gabriella, Gábor Péley, István Sinkovics, et al.. (2003). Clinical significance of sentinel lymph node involvement in malignant melanoma. Pathology & Oncology Research. 9(3). 184–187. 10 indexed citations
12.
Udvarhelyi, Nóra, et al.. (2003). Heterogenous S-100B Protein Expression Patterns in Malignant Melanoma and Association with Serum Protein Levels. Oncology. 64(4). 374–379. 16 indexed citations
13.
Gilde, Katalin, et al.. (2003). Malignant mucosal melanoma of the head and neck — a review. Pathology & Oncology Research. 9(1). 7–12. 57 indexed citations
14.
Gilde, Katalin, et al.. (2002). Use of serum 5-S-CD and S-100B protein levels to monitor the clinical course of malignant melanoma. European Journal of Cancer. 39(2). 164–169. 22 indexed citations
15.
Gilde, Katalin, et al.. (2002). Comparison of prognostic significance of serum 5-S-Cysteinyldopa, LDH and S-100B protein in Stage III–IV malignant melanoma. Pathology & Oncology Research. 8(3). 183–187. 34 indexed citations
16.
Tı́már, József, Erzsébet Rásó, Balázs Döme, et al.. (2002). Expression and function of the AMF receptor by human melanoma in experimental and clinical systems. Clinical & Experimental Metastasis. 19(3). 225–232. 22 indexed citations
17.
Gilde, Katalin, et al.. (2000). Serum concentration of 5‐S‐cysteinyldopa in patients with melanoma. European Journal of Clinical Investigation. 30(10). 900–904. 21 indexed citations
18.
Liszkay, Gabriella, et al.. (2000). [Preoperative lymphoscintigraphy guided sentinel lymph node biopsy in malignant melanoma]. PubMed. 44(2). 141–143. 1 indexed citations
19.
Gilde, Katalin, et al.. (1999). Serum levels of S-100 protein and 5-S-cysteinyldopa as markers of melanoma progression. Pathology & Oncology Research. 5(3). 218–222. 16 indexed citations
20.
Gilde, Katalin, et al.. (1989). Tinea Capitis Caused by Microsporum canis in an Adult. Mycoses. 32(2). 97–98. 6 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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