Janina Kulka

5.7k total citations
181 papers, 3.0k citations indexed

About

Janina Kulka is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Janina Kulka has authored 181 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Cancer Research, 68 papers in Oncology and 49 papers in Pathology and Forensic Medicine. Recurrent topics in Janina Kulka's work include Breast Cancer Treatment Studies (59 papers), Breast Lesions and Carcinomas (35 papers) and Barrier Structure and Function Studies (22 papers). Janina Kulka is often cited by papers focused on Breast Cancer Treatment Studies (59 papers), Breast Lesions and Carcinomas (35 papers) and Barrier Structure and Function Studies (22 papers). Janina Kulka collaborates with scholars based in Hungary, United Kingdom and United States. Janina Kulka's co-authors include Anna‐Mária Tõkés, Attila Marcell Szász, Walter Bauer, Edward J. Goetzl, Kenneth H. Falchuk, H. Ralph Schumacher, András Kiss, Lilla Madaras, Zsuzsa Schaff and William S. Clark and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Janina Kulka

175 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janina Kulka Hungary 29 913 896 800 531 418 181 3.0k
Tibor Krenács Hungary 36 828 0.9× 539 0.6× 1.6k 2.0× 556 1.0× 93 0.2× 175 3.6k
Emmanuelle Uro‐Coste France 30 586 0.6× 292 0.3× 1.3k 1.6× 377 0.7× 291 0.7× 119 3.3k
Aurelio Ariza Spain 31 990 1.1× 252 0.3× 902 1.1× 1.1k 2.0× 126 0.3× 93 3.5k
Kazuto Yamazaki Japan 31 710 0.8× 575 0.6× 916 1.1× 639 1.2× 55 0.1× 159 3.1k
Claudio Gambini Italy 37 1.1k 1.2× 647 0.7× 1.4k 1.7× 646 1.2× 65 0.2× 170 4.6k
Satoshi Baba Japan 29 638 0.7× 334 0.4× 765 1.0× 523 1.0× 173 0.4× 163 2.6k
Junji Shibahara Japan 37 1.3k 1.4× 602 0.7× 1.3k 1.6× 948 1.8× 98 0.2× 152 4.7k
Ester Piek Netherlands 27 998 1.1× 491 0.5× 3.3k 4.1× 401 0.8× 71 0.2× 42 4.6k
Hiroyuki Mineta Japan 28 911 1.0× 379 0.4× 1.1k 1.4× 378 0.7× 154 0.4× 168 2.6k
Mallar Bhattacharya United States 15 553 0.6× 542 0.6× 1.5k 1.9× 716 1.3× 152 0.4× 24 3.1k

Countries citing papers authored by Janina Kulka

Since Specialization
Citations

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

Fields of papers citing papers by Janina Kulka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janina Kulka

This figure shows the co-authorship network connecting the top 25 collaborators of Janina Kulka. A scholar is included among the top collaborators of Janina Kulka 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 Janina Kulka. Janina Kulka 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.
Ellis, Ian O., Fleur Webster, Kimberly H. Allison, et al.. (2024). Dataset for reporting of the invasive carcinoma of the breast: recommendations from the International Collaboration on Cancer Reporting (ICCR). Histopathology. 85(3). 418–436. 3 indexed citations
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Cserni, Gábor, Balázs Járay, Endre Kálmán, et al.. (2020). [Pathological diagnosis, work-up and reporting of breast cancer. Recommendations from the 4th Breast Cancer Consensus Conference].. PubMed. 64(4). 301–328. 5 indexed citations
5.
Brčić, Luka, Andrea Thueringer, Karl Kashofer, et al.. (2019). Atypical goblet cell hyperplasia occurs in CPAM 1, 2, and 3, and is a probable precursor lesion for childhood adenocarcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 476(6). 843–854. 18 indexed citations
6.
Ács, Balázs, Veronika Zámbó, Laura Vízkeleti, et al.. (2017). Ki-67 as a controversial predictive and prognostic marker in breast cancer patients treated with neoadjuvant chemotherapy. Diagnostic Pathology. 12(1). 20–20. 63 indexed citations
7.
Kulka, Janina, Borbála Székely, Orsolya Kiss, et al.. (2016). Comparison of Predictive Immunohistochemical Marker Expression of Primary Breast Cancer and Paired Distant Metastasis using Surgical Material. Journal of Histochemistry & Cytochemistry. 64(4). 256–267. 15 indexed citations
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Green, Andrew R., Daniele Soria, Des G. Powe, et al.. (2016). Nottingham prognostic index plus (NPI+) predicts risk of distant metastases in primary breast cancer. Breast Cancer Research and Treatment. 157(1). 65–75. 22 indexed citations
10.
Cserni, Gábor, Janina Kulka, Balázs Járay, et al.. (2016). [Pathological diagnosis, work-up and reporting of breast cancer. Recommendations of the 3rd Hungarian Consensus Conference on Breast Cancer].. PubMed. 60(3). 209–28. 7 indexed citations
11.
Tõkés, Anna‐Mária, Attila Marcell Szász, István Kenessey, et al.. (2015). Expression of proliferation markers Ki67, cyclin A, geminin and aurora-kinase A in primary breast carcinomas and corresponding distant metastases. Journal of Clinical Pathology. 68(4). 274–282. 21 indexed citations
12.
Teleki, Ivett, Tibor Krenács, Marcell A. Szász, et al.. (2013). The potential prognostic value of connexin 26 and 46 expression in neoadjuvant-treated breast cancer. BMC Cancer. 13(1). 50–50. 47 indexed citations
13.
Madaras, Lilla, Kristóf Kovács, Attila Marcell Szász, et al.. (2013). Clinicopathological Features and Prognosis of Pregnancy Associated Breast Cancer – A Matched Case Control Study. Pathology & Oncology Research. 20(3). 581–590. 35 indexed citations
14.
Rusvai, Miklós, et al.. (2010). Faggyúmirigy irányú differenciáló dás jeleit mutató szimplex emlo″;adenoma kutyában: Esetismertetés. Magyar Állatorvosok Lapja. 132(5). 265–271. 1 indexed citations
15.
Cserni, Gábor, Balázs Járay, Endre Kálmán, et al.. (2010). Az emlőrák patológiai diagnosztikája, feldolgozása és kórszövettani leletezése. PubMed. 54(3). 217–226. 8 indexed citations
16.
Tõkés, Anna‐Mária, Attila Marcell Szász, Magdolna Dank, et al.. (2009). Stromal Matrix Protein Expression Following Preoperative Systemic Therapy in Breast Cancer. Clinical Cancer Research. 15(2). 731–739. 20 indexed citations
17.
Rusvai, Miklós, et al.. (2009). Immunohistochemical examination of angiogenesis with claudin-5, CD31, α-SMA and calponin in dogs.. Magyar Állatorvosok Lapja. 131(8). 477–482. 2 indexed citations
18.
Balka, Gyula, et al.. (2009). Diagnosis of spindle cell haemangioma in a dog by the use of claudin-5. Case report.. Magyar Állatorvosok Lapja. 131(7). 402–406. 4 indexed citations
19.
Montemurro, Filippo, Stefania Redana, Giuseppe Viale, et al.. (2008). Retrospective Evaluation of Clinical Outcomes in Patients with HER2-Positive Advanced Breast Cancer Progressing on Trastuzumab-Based Therapy in the Pre-Lapatinib Era. Clinical Breast Cancer. 8(5). 436–442. 23 indexed citations
20.
Kulka, Janina, et al.. (2007). Ultrasound Diagnostics of the Superconducting Cable Connections Between the Main Ring Magnets of LHC. pac. 311. 1 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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