Majda Haznadar

718 total citations
19 papers, 494 citations indexed

About

Majda Haznadar is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Majda Haznadar has authored 19 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Cancer Research. Recurrent topics in Majda Haznadar's work include Metabolomics and Mass Spectrometry Studies (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Majda Haznadar is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Majda Haznadar collaborates with scholars based in United States, Japan and United Kingdom. Majda Haznadar's co-authors include Elise D. Bowman, Curtis C. Harris, Kristopher W. Krausz, Frank J. Gonzalez, Ewy A. Mathé, Soumen Manna, Ana I. Robles, Dickran Kazandjian, Jeffrey R. Idle and Philip B. Smith and has published in prestigious journals such as Gastroenterology, PLoS ONE and Cancer Research.

In The Last Decade

Majda Haznadar

18 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Majda Haznadar United States 11 322 161 66 64 49 19 494
Miaolong Lu China 12 364 1.1× 225 1.4× 87 1.3× 74 1.2× 21 0.4× 18 607
Florian Büttner Germany 13 297 0.9× 218 1.4× 117 1.8× 127 2.0× 31 0.6× 24 474
Lee Lee Wong Singapore 11 441 1.4× 246 1.5× 90 1.4× 51 0.8× 19 0.4× 17 644
Francesco Gatto Sweden 15 678 2.1× 214 1.3× 120 1.8× 107 1.7× 20 0.4× 35 879
Heather Ann Brauer United States 11 219 0.7× 119 0.7× 142 2.2× 41 0.6× 24 0.5× 21 409
Kaiyuan Liu China 12 299 0.9× 131 0.8× 50 0.8× 42 0.7× 14 0.3× 31 431
Gizem Gülfidan Türkiye 12 244 0.8× 85 0.5× 71 1.1× 83 1.3× 40 0.8× 23 397
Mohamed Saiel Saeed Alhamdani Germany 15 235 0.7× 89 0.6× 118 1.8× 24 0.4× 14 0.3× 19 516

Countries citing papers authored by Majda Haznadar

Since Specialization
Citations

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

Fields of papers citing papers by Majda Haznadar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majda Haznadar

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

All Works

19 of 19 papers shown
1.
Patel, Daxesh P., Sharon R. Pine, Takahiro Oike, et al.. (2024). Urinary Metabolite Diagnostic and Prognostic Liquid Biopsy Biomarkers of Lung Cancer in Nonsmokers and Tobacco Smokers. Clinical Cancer Research. 30(16). 3592–3602. 1 indexed citations
2.
Barajas, Rolando, Majda Haznadar, Padma Maruvada, et al.. (2022). An evaluation of the National Institutes of Health grants portfolio: identifying opportunities and challenges for multi-omics research that leverage metabolomics data. Metabolomics. 18(5). 29–29. 10 indexed citations
3.
Haznadar, Majda, Amelia L. Parker, Kristopher W. Krausz, et al.. (2019). Urinary Metabolites Diagnostic and Prognostic of Intrahepatic Cholangiocarcinoma. Cancer Epidemiology Biomarkers & Prevention. 28(10). 1704–1711. 15 indexed citations
4.
Haznadar, Majda. (2019). Cancer Metabolism. Methods in molecular biology. 5 indexed citations
5.
Haznadar, Majda, Kristopher W. Krausz, Elise D. Bowman, et al.. (2018). Inverse association of vitamin D3 levels with lung cancer mediated by genetic variation. Cancer Medicine. 7(6). 2764–2775. 14 indexed citations
6.
Oike, Takahiro, Yasuyuki Kanke, Amelia L. Parker, et al.. (2018). Abstract A18: Diagnostic and prognostic utility of urinary creatine riboside for early stage non-small cell lung cancer. Clinical Cancer Research. 24(17_Supplement). A18–A18.
7.
Haznadar, Majda, Qiuyin Cai, Kristopher W. Krausz, et al.. (2016). Urinary Metabolite Risk Biomarkers of Lung Cancer: A Prospective Cohort Study. Cancer Epidemiology Biomarkers & Prevention. 25(6). 978–986. 45 indexed citations
8.
McClary, Andrew C., Jessica K. Roberts, Ana I. Robles, et al.. (2016). A functional SNP in MRPL43 modulates lung cancer susceptibility and survival through alternative splicing of its isoforms. Journal of Thoracic Oncology. 11(2). S39–S40. 1 indexed citations
9.
Haznadar, Majda & Ewy A. Mathé. (2016). Experimental and Study Design Considerations for Uncovering Oncometabolites. Methods in molecular biology. 1513. 37–47. 1 indexed citations
10.
Haznadar, Majda, Kristopher W. Krausz, Elise D. Bowman, et al.. (2016). Abstract 4320: Circulating vitamin D2 and D3 levels and single nucleotide polymorphism associations with lung cancer status: A case-control study. Cancer Research. 76(14_Supplement). 4320–4320. 2 indexed citations
11.
Mathé, Ewy A., Andrew D. Patterson, Majda Haznadar, et al.. (2014). Noninvasive Urinary Metabolomic Profiling Identifies Diagnostic and Prognostic Markers in Lung Cancer. Cancer Research. 74(12). 3259–3270. 142 indexed citations
12.
Ryan, Bríd M., Ana I. Robles, Andrew C. McClary, et al.. (2014). Identification of a Functional SNP in the 3′UTR of CXCR2 That Is Associated with Reduced Risk of Lung Cancer. Cancer Research. 75(3). 566–575. 49 indexed citations
13.
Haznadar, Majda, Padma Maruvada, John A. Milner, et al.. (2014). Navigating the road ahead: addressing challenges for use of metabolomics in epidemiology studies. Metabolomics. 10(2). 176–178. 6 indexed citations
14.
Manna, Soumen K., Naoki Tanaka, Kristopher W. Krausz, et al.. (2014). Biomarkers of Coordinate Metabolic Reprogramming in Colorectal Tumors in Mice and Humans. Gastroenterology. 146(5). 1313–1324. 77 indexed citations
15.
Zanetti, Krista A., Majda Haznadar, Judith A. Welsh, et al.. (2012). 3′-UTR and Functional Secretor Haplotypes in Mannose-Binding Lectin 2 Are Associated with Increased Colon Cancer Risk in African Americans. Cancer Research. 72(6). 1467–1477. 57 indexed citations
16.
Fang, Gang, Majda Haznadar, Wen Wang, et al.. (2012). High-Order SNP Combinations Associated with Complex Diseases: Efficient Discovery, Statistical Power and Functional Interactions. PLoS ONE. 7(4). e33531–e33531. 40 indexed citations
17.
Church, Timothy R., Majda Haznadar, Mindy S. Geisser, et al.. (2010). Interaction of CYP1B1, cigarette-smoke carcinogen metabolism, and lung cancer risk.. PubMed. 1(4). 295–309. 18 indexed citations
18.
Durie, Brian G.M., Brian Van Ness, Owen Stephens, et al.. (2009). Genetic polymorphisms of EPHX1, Gsk3β, TNFSF8 and myeloma cell DKK-1 expression linked to bone disease in myeloma. Leukemia. 23(10). 1913–1919. 10 indexed citations
19.
Haznadar, Majda, et al.. (2005). Saturation with oxygen for ductal dependent congenital heart diseases before and after the prostaglandin therapy. Bosnian Journal of Basic Medical Sciences. 5(1). 14–18. 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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