Lenka Goldman

769 total citations
22 papers, 571 citations indexed

About

Lenka Goldman is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lenka Goldman has authored 22 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lenka Goldman's work include Global Cancer Incidence and Screening (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Lenka Goldman is often cited by papers focused on Global Cancer Incidence and Screening (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Lenka Goldman collaborates with scholars based in United States, Egypt and Malaysia. Lenka Goldman's co-authors include Mohamed Abdel‐Hamid, Radoslav Goldman, Habtom W. Ressom, Rency S. Varghese, Christopher A. Loffredo, Sameera Ezzat, Miloš V. Novotný, Iman Gouda, Zuzana Kyseľová and Yehia Mechref and has published in prestigious journals such as Journal of the American Chemical Society, Annals of Internal Medicine and Cancer.

In The Last Decade

Lenka Goldman

20 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lenka Goldman United States 13 325 133 88 82 62 22 571
Yaroslav Lyutvinskiy Sweden 10 247 0.8× 156 1.2× 50 0.6× 43 0.5× 53 0.9× 12 430
Yuzhuo Pan United States 13 348 1.1× 69 0.5× 260 3.0× 161 2.0× 34 0.5× 27 845
Laura Spruill United States 17 306 0.9× 69 0.5× 93 1.1× 99 1.2× 52 0.8× 47 680
Liping Zhou China 14 157 0.5× 69 0.5× 93 1.1× 38 0.5× 56 0.9× 52 487
Hari Kosanam Canada 11 278 0.9× 97 0.7× 89 1.0× 35 0.4× 56 0.9× 20 472
Sergio Lage Spain 16 252 0.8× 118 0.9× 23 0.3× 47 0.6× 23 0.4× 28 513
Hans Peter Grimm Switzerland 12 154 0.5× 43 0.3× 114 1.3× 25 0.3× 84 1.4× 25 513
Emile G. Plise United States 17 493 1.5× 25 0.2× 312 3.5× 84 1.0× 27 0.4× 39 876
Xiaomeng Shen United States 18 462 1.4× 216 1.6× 96 1.1× 79 1.0× 44 0.7× 31 754
Athula Herath United Kingdom 12 362 1.1× 155 1.2× 108 1.2× 200 2.4× 85 1.4× 19 839

Countries citing papers authored by Lenka Goldman

Since Specialization
Citations

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

Fields of papers citing papers by Lenka Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lenka Goldman

This figure shows the co-authorship network connecting the top 25 collaborators of Lenka Goldman. A scholar is included among the top collaborators of Lenka Goldman 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 Lenka Goldman. Lenka Goldman 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.
Doria‐Rose, V. Paul, Gerard A. Silvestri, Danielle D. Durham, et al.. (2025). The United States’ Early Experience With Lung Cancer Screening—Creation of a National Data Linkage: A Brief Report. JTO Clinical and Research Reports. 6(6). 100825–100825.
2.
Lee, Cindy, Lenka Goldman, Lars J. Grimm, et al.. (2023). Screening mammographic performance by race and age in the National Mammography Database: 29,479,665 screening mammograms from 13,181,241 women. Breast Cancer Research and Treatment. 203(3). 599–612. 2 indexed citations
3.
Silvestri, Gerard A., Lenka Goldman, Nichole T. Tanner, et al.. (2023). Outcomes From More Than 1 Million People Screened for Lung Cancer With Low-Dose CT Imaging. CHEST Journal. 164(1). 241–251. 58 indexed citations
4.
Oluyemi, Eniola, Lars J. Grimm, Lenka Goldman, et al.. (2023). Rate and Timeliness of Diagnostic Evaluation and Biopsy After Recall From Screening Mammography in the National Mammography Database. Journal of the American College of Radiology. 21(3). 427–438. 1 indexed citations
5.
Moreno, Courtney C., Judy Yee, Abraham H. Dachman, et al.. (2020). Use of Screening CT Colonography by Age and Race: A Study of Potential Access Barriers Related to Medicare Noncoverage Based on Data From the ACR’s National CT Colonography Registry. Journal of the American College of Radiology. 18(1). 19–26. 3 indexed citations
6.
7.
Goldman, Lenka, et al.. (2013). Obesity in adults with epilepsy. Epilepsy & Behavior. 28(3). 391–394. 47 indexed citations
8.
Goerlitz, David, Mai M. El-Daly, Mohamed Abdel‐Hamid, et al.. (2011). GSTM1, GSTT1 Null Variants, and GPX1 Single Nucleotide Polymorphism Are Not Associated with Bladder Cancer Risk in Egypt. Cancer Epidemiology Biomarkers & Prevention. 20(7). 1552–1554. 23 indexed citations
9.
Kosti, Ourania, Xia Xu, Timothy D. Veenstra, et al.. (2010). Urinary estrogen metabolites and prostate cancer risk: A pilot study. The Prostate. 71(5). 507–516. 17 indexed citations
10.
Kosti, Ourania, Lenka Goldman, Ann W. Hsing, et al.. (2010). DNA damage phenotype and prostate cancer risk. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 719(1-2). 41–46. 8 indexed citations
11.
Goldman, Radoslav, Habtom W. Ressom, Rency S. Varghese, et al.. (2009). Detection of Hepatocellular Carcinoma Using Glycomic Analysis. Clinical Cancer Research. 15(5). 1808–1813. 123 indexed citations
12.
Goldman, Lenka, Sameera Ezzat, Nadia Mokhtar, et al.. (2009). Viral and non-viral risk factors for non-Hodgkin’s lymphoma in Egypt: heterogeneity by histological and immunological subtypes. Cancer Causes & Control. 20(6). 981–987. 28 indexed citations
13.
Ressom, Habtom W., Rency S. Varghese, Lenka Goldman, et al.. (2008). Analysis of MALDI-TOF Mass Spectrometry Data for Discovery of Peptide and Glycan Biomarkers of Hepatocellular Carcinoma. Journal of Proteome Research. 7(2). 603–610. 49 indexed citations
14.
Varghese, Rency S., Lenka Goldman, Yanming An, et al.. (2008). Integrated peptide and glycan biomarker discovery using MALDI-TOF mass spectrometry. PubMed. 2008. 3791–3794. 5 indexed citations
15.
Goldman, Radoslav, Habtom W. Ressom, Mohamed Abdel‐Hamid, et al.. (2007). Candidate markers for the detection of hepatocellular carcinoma in low-molecular weight fraction of serum. Carcinogenesis. 28(10). 2149–2153. 43 indexed citations
16.
Ressom, Habtom W., Rency S. Varghese, Lenka Goldman, et al.. (2007). ANALYSIS OF MALDI-TOF MASS SPECTROMETRY DATA FOR DETECTION OF GLYCAN BIOMARKERS. PubMed. 216–227. 18 indexed citations
17.
Ressom, Habtom W., Rency S. Varghese, Mohamed Abdel‐Hamid, et al.. (2005). Analysis of mass spectral serum profiles for biomarker selection. Computer applications in the biosciences. 21(21). 4039–4045. 66 indexed citations
18.
Ressom, Habtom W., Rency S. Varghese, Eduard Orviský, et al.. (2005). Particle swarm optimization for analysis of mass spectral serum profiles. 431–438. 7 indexed citations
19.
Ellis, Robert J., et al.. (1975). Immunologic competence of regional lymph nodes in patients with breast cancer. Cancer. 35(3). 655–659. 27 indexed citations
20.

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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