M Furman

505 total citations
26 papers, 437 citations indexed

About

M Furman is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M Furman has authored 26 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M Furman's work include Lung Cancer Research Studies (8 papers), Glycosylation and Glycoproteins Research (7 papers) and Peptidase Inhibition and Analysis (6 papers). M Furman is often cited by papers focused on Lung Cancer Research Studies (8 papers), Glycosylation and Glycoproteins Research (7 papers) and Peptidase Inhibition and Analysis (6 papers). M Furman collaborates with scholars based in Poland, United States and United Kingdom. M Furman's co-authors include Jacek Nikliński, J Laudański, L Chyczewski, E Chyczewska, Mirosław Kozłowski, Wiesława Niklińska, F Rogowski, Tomasz Burzykowski, K Buluk and Małgorzata Krętowska and has published in prestigious journals such as British Journal of Cancer, European Respiratory Journal and Thrombosis and Haemostasis.

In The Last Decade

M Furman

26 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Furman Poland 12 213 169 154 81 56 26 437
Andrea Warlters Australia 8 161 0.8× 178 1.1× 74 0.5× 34 0.4× 57 1.0× 9 410
Maria Gonidi Greece 11 146 0.7× 187 1.1× 137 0.9× 43 0.5× 76 1.4× 29 466
Takeshi Hirao Japan 13 126 0.6× 248 1.5× 175 1.1× 58 0.7× 68 1.2× 23 534
Elvira Mustać Croatia 13 152 0.7× 164 1.0× 142 0.9× 58 0.7× 113 2.0× 37 456
Peter C. Van Bodegom Netherlands 5 315 1.5× 245 1.4× 310 2.0× 68 0.8× 148 2.6× 9 625
Judy Walls United States 9 114 0.5× 170 1.0× 184 1.2× 34 0.4× 63 1.1× 12 448
Eugene A. Foster United States 9 101 0.5× 157 0.9× 158 1.0× 38 0.5× 45 0.8× 20 449
A Calcinai Italy 8 172 0.8× 250 1.5× 110 0.7× 29 0.4× 143 2.6× 8 402
H Pujol France 6 176 0.8× 171 1.0× 91 0.6× 58 0.7× 59 1.1× 15 432

Countries citing papers authored by M Furman

Since Specialization
Citations

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

Fields of papers citing papers by M Furman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Furman

This figure shows the co-authorship network connecting the top 25 collaborators of M Furman. A scholar is included among the top collaborators of M Furman 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 M Furman. M Furman 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.
Niklińska, Wiesława, Tomasz Burzykowski, L Chyczewski, et al.. (2000). p53 gene mutation and protein expression in operable non-small cell lung cancer in Poland. European Journal of Cancer Prevention. 9(2). 81–88. 6 indexed citations
2.
Laudański, J, Tomasz Burzykowski, Wiesława Niklińska, et al.. (1998). Prognostic value of serum p53 antibodies in patients with resected non-small cell lung cancer. Lung Cancer. 22(3). 191–200. 24 indexed citations
3.
Nikliński, Jacek, Tomasz Burzykowski, Wiesława Niklińska, et al.. (1998). Preoperative CYFRA 21-1 level as a prognostic indicator in resected nonsmall cell lung cancer. European Respiratory Journal. 12(6). 1424–1428. 27 indexed citations
4.
Rucińska, Monika, et al.. (1997). Activity of cancer procoagulant (CP) in serum of patients with cancer of lung, breast, oesophagus and colorectum.. Acta Biochimica Polonica. 44(1). 109–112. 6 indexed citations
5.
Chyczewski, L, Jacek Nikliński, E Chyczewska, J Laudański, & M Furman. (1997). Immunohistochemical analysis of tissue localization of cytokeratin 19 in lung cancer.. PubMed. 42 Suppl 1. 162–72. 11 indexed citations
6.
Chyczewski, L, et al.. (1997). Activity and tissue localization of cathepsin D in non small cell lung cancer.. PubMed. 42 Suppl 1. 199–216. 11 indexed citations
7.
Nikliński, Jacek, M Furman, Tomasz Burzykowski, et al.. (1996). Preoperative CYFRA 21-1 level as a prognostic indicator in resected primary squamous cell lung cancer. British Journal of Cancer. 74(6). 956–960. 19 indexed citations
8.
Nikliński, Jacek, M Furman, L Chyczewski, et al.. (1996). CYFRA 21-1 determination in patients with non-small cell lung cancer: Clinical utility for the detection of recurrences. Lung Cancer. 15(1). 147–147. 9 indexed citations
9.
Nikliński, Jacek, M Furman, E Chyczewska, et al.. (1995). Diagnostic and prognostic value of the new tumour marker CYFRA 21-1 in patients with squamous cell lung cancer. European Respiratory Journal. 8(2). 291–294. 45 indexed citations
10.
Nikliński, Jacek & M Furman. (1995). Clinical tumour markers in lung cancer. European Journal of Cancer Prevention. 4(2). 129–138. 87 indexed citations
11.
Nikliński, Jacek, M Furman, S. Baldi, et al.. (1995). CYFRA 21-1 as a tumour marker for bronchogenic carcinoma. European Respiratory Journal. 8(3). 407–410. 22 indexed citations
12.
Leff, Jared A., et al.. (1995). Interleukin-1 pretreatment prevents interleukin-1-induced lung leak in rats. American Journal of Physiology-Lung Cellular and Molecular Physiology. 268(1). L12–L16. 7 indexed citations
13.
Nikliński, Jacek, M Furman, E Chyczewska, et al.. (1994). Evaluation of CYFRA 21–1 as a new marker for non-small cell lung cancer. European Journal of Cancer Prevention. 3(2). 227–230. 20 indexed citations
14.
Nikliński, Jacek, et al.. (1994). [Cyfra 21-1 new marker for non-small cell lung cancer].. PubMed. 62(5-6). 227–32. 1 indexed citations
15.
Jabłońska, Ewa, et al.. (1994). Soluble interleukin-2 receptor in serum of patients with esophageal carcinoma.. PubMed. 41(6). 315–8. 4 indexed citations
16.
Nikliński, Jacek, et al.. (1993). Usefulness of a multiple biomarker assay in bronchoalveolar lavage (BAL) and serum for the diagnosis of small cell lung cancer.. PubMed. 40(5). 305–8. 6 indexed citations
17.
Nikliński, Jacek, L Chyczewski, E Chyczewska, J Laudański, & M Furman. (1993). A correlative study of bronchial cytology, bronchoalveolar lavage (BAL) and serum tumor markers in the diagnosis of lung carcinoma.. PubMed. 31(4). 211–3. 1 indexed citations
18.
Nikliński, Jacek, M Furman, J Laudański, & Mirosław Kozłowski. (1992). Prognostic value of pretreatment CEA, SCC-Ag and CA 19–9 levels in sera of patients with non-small cell lung cancer. European Journal of Cancer Prevention. 1(6). 401–406. 32 indexed citations
19.
Nikliński, Jacek & M Furman. (1991). [Biological markers in lung cancer].. PubMed. 59(5-6). 253–9. 2 indexed citations
20.
Furman, M, et al.. (1966). The Kidneys and the Liver as the Organs Regulating the Fibrinolytic System of the Circulating Blood. Thrombosis and Haemostasis. 15(03/04). 554–560. 14 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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