Jacek Bigda

657 total citations
38 papers, 569 citations indexed

About

Jacek Bigda is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jacek Bigda has authored 38 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 16 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Jacek Bigda's work include Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (7 papers) and Cell death mechanisms and regulation (5 papers). Jacek Bigda is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (7 papers) and Cell death mechanisms and regulation (5 papers). Jacek Bigda collaborates with scholars based in Poland, Sri Lanka and Spain. Jacek Bigda's co-authors include Grzegorz Stasiłojć, Patrycja Koszałka, A Bomirski, Andrzej Słomiński, Andrzej Myśliwski, Ewa Łojkowska, Anna Kawiak, Andrzej C. Składanowski, Jolanta Myśliwska and Anna Gwizdek‐Wiśniewska and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Gene.

In The Last Decade

Jacek Bigda

38 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacek Bigda Poland 12 270 127 124 93 71 38 569
Michel M. Sanders United States 20 646 2.4× 109 0.9× 144 1.2× 28 0.3× 100 1.4× 36 1.2k
Niek G.J. Leus Netherlands 14 448 1.7× 150 1.2× 89 0.7× 17 0.2× 22 0.3× 21 695
Stephen L. Carrithers United States 14 400 1.5× 195 1.5× 196 1.6× 31 0.3× 17 0.2× 19 844
Weihua Dong China 8 308 1.1× 45 0.4× 58 0.5× 15 0.2× 165 2.3× 18 503
Zhi Jie Li Hong Kong 17 485 1.8× 103 0.8× 159 1.3× 35 0.4× 11 0.2× 27 824
Yuki Ishii Japan 17 524 1.9× 67 0.5× 139 1.1× 14 0.2× 17 0.2× 29 703
Xiaoxia Jin China 17 397 1.5× 78 0.6× 97 0.8× 24 0.3× 11 0.2× 36 747
Huaijiang Yan China 10 518 1.9× 145 1.1× 75 0.6× 11 0.1× 18 0.3× 14 823
Joseph D. Koos United States 6 803 3.0× 81 0.6× 112 0.9× 14 0.2× 12 0.2× 7 998
Suzanne J. Furlong Canada 12 269 1.0× 262 2.1× 115 0.9× 106 1.1× 4 0.1× 17 649

Countries citing papers authored by Jacek Bigda

Since Specialization
Citations

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

Fields of papers citing papers by Jacek Bigda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacek Bigda

This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Bigda. A scholar is included among the top collaborators of Jacek Bigda 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 Jacek Bigda. Jacek Bigda 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.
Stasiłojć, Grzegorz, et al.. (2019). Defective apoptosis of U937 cells induced by benzyl isothiocyanate (BITC). Acta Biochimica Polonica. 66(4). 401–407. 7 indexed citations
2.
Skrzypski, Marcin, Tomasz Stokowy, Grzegorz Stasiłojć, et al.. (2018). MiR-192 and miR-662 enhance chemoresistance and invasiveness of squamous cell lung carcinoma. Lung Cancer. 118. 111–118. 36 indexed citations
3.
Macur, Katarzyna, Lucyna Konieczna, Jacek Bigda, et al.. (2017). A Proteomic-Based Approach to Study the Mechanism of Cytotoxicity Induced by Interleukin-1α and Cycloheximide. Chromatographia. 81(1). 47–56. 2 indexed citations
4.
5.
Koszałka, Patrycja, et al.. (2015). CD73 on B16F10 melanoma cells in CD73-deficient mice promotes tumor growth, angiogenesis, neovascularization, macrophage infiltration and metastasis. The International Journal of Biochemistry & Cell Biology. 69. 1–10. 33 indexed citations
6.
7.
Pierzchalski, Arkadiusz, et al.. (2008). Cytocidal effect of interleukin 1 (IL-1) on HeLa cells is mediated by both soluble and transmembrane tumor necrosis factor (TNF). Cytokine. 42(2). 243–255. 4 indexed citations
8.
Koszałka, Patrycja, Ewa Szmit, Andrzej Myśliwski, & Jacek Bigda. (2007). Anti-tumor action of tumor necrosis factor against Bomirski Ab melanoma in hamsters. Archivum Immunologiae et Therapiae Experimentalis. 55(4). 267–279. 4 indexed citations
9.
Okrój, Marcin, et al.. (2006). The atypical pattern of cell death in B16F10 melanoma cells treated with TNP-470. Cellular & Molecular Biology Letters. 11(3). 384–95. 2 indexed citations
10.
Okrój, Marcin, Wojciech Kamysz, Ewa M. Słomińska, Andrzej Myśliwski, & Jacek Bigda. (2005). A novel mechanism of action of the fumagillin analog, TNP-470, in the B16F10 murine melanoma cell line. Anti-Cancer Drugs. 16(8). 817–823. 10 indexed citations
11.
Bigda, Jacek, et al.. (2003). The role of tumor necrosis factor (TNF) in angiogenesis. Contemporary Oncology/Współczesna Onkologia. 6(2). 57–59. 2 indexed citations
12.
Jassem, Ewa, Jacek Bigda, Rafał Dziadziuszko, et al.. (2001). Serum p53 antibodies in small cell lung cancer: the lack of prognostic relevance. Lung Cancer. 31(1). 17–23. 11 indexed citations
13.
Kaszubowska, Lucyna, et al.. (2001). IDENTIFICATION OF TWO U937 CELL SUBLINES EXHIBITING DIFFERENT PATTERNS OF RESPONSE TO TUMOUR NECROSIS FACTOR. Cytokine. 13(6). 365–370. 3 indexed citations
14.
Myśliwski, Andrzej, Jacek Bigda, Jolanta Myśliwska, Jacek M. Witkowski, & Danuta Sosnowska. (1995). Changes of natural killer cytotoxic activity and natural killer sensitivity during growth of Bomirski melanotic (Ma) and amelanotic (Ab) melanomas.. PubMed. 42(1). 15–9. 1 indexed citations
15.
Myśliwski, Andrzej, et al.. (1993). Elderly high NK responders are characterized by intensive proliferative response to PHA and Con A and optimal health status. Archives of Gerontology and Geriatrics. 16(3). 199–205. 7 indexed citations
16.
Bigda, Jacek, et al.. (1993). Interleukin 12 Augments Natural Killer-Cell Mediated Cytotoxicity in Hairy Cell Leukemia. Leukemia & lymphoma. 10(1-2). 121–125. 12 indexed citations
17.
Bigda, Jacek, Jolanta Myśliwska, Wojciech Baran, Andrzej Hellmann, & Andrzej Myśliwski. (1993). Interleukin 2– and Interferon Alpha Induced Natural Killer Cell Activity as a Marker of Progression in Hairy Cell Leukemia. Leukemia & lymphoma. 9(4-5). 371–376. 7 indexed citations
18.
Myśliwska, Jolanta, Andrzej Myśliwski, Piotr Romanowski, et al.. (1992). Monocytes Are Responsible for Depressed Natural Killer (NK) Activity in both Young and Elderly Low NK Responders. Gerontology. 38(1-2). 41–49. 24 indexed citations
19.
Myśliwska, Jolanta, Ewa Bryl, Jacek Bigda, et al.. (1992). [Activity of NK in elderly people].. PubMed. 23(4). 245–51. 1 indexed citations
20.
Bigda, Jacek, et al.. (1989). Natural killer sensitivity of four Bomirski melanoma variants. Cancer Letters. 44(1). 67–72. 4 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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