Howard B. Urnovitz

1.3k total citations
41 papers, 973 citations indexed

About

Howard B. Urnovitz is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Howard B. Urnovitz has authored 41 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 13 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Howard B. Urnovitz's work include Cancer Genomics and Diagnostics (14 papers), HIV Research and Treatment (7 papers) and T-cell and Retrovirus Studies (4 papers). Howard B. Urnovitz is often cited by papers focused on Cancer Genomics and Diagnostics (14 papers), HIV Research and Treatment (7 papers) and T-cell and Retrovirus Studies (4 papers). Howard B. Urnovitz collaborates with scholars based in United States, Germany and Italy. Howard B. Urnovitz's co-authors include William H. Murphy, Julia Beck, Ekkehard Schütz, Kirsten Bornemann-Kolatzki, Glen J. Weiss, Vivek Khemka, William M. Mitchell, Mario Clerici, Lisa Blaydorn and J. Riggert and has published in prestigious journals such as Science, The Lancet and Nucleic Acids Research.

In The Last Decade

Howard B. Urnovitz

39 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Howard B. Urnovitz United States 17 328 323 290 185 150 41 973
Harsh B. Pathak United States 23 684 2.1× 395 1.2× 231 0.8× 117 0.6× 271 1.8× 68 1.5k
Sâmia Demachki Brazil 21 558 1.7× 204 0.6× 357 1.2× 148 0.8× 160 1.1× 73 1.1k
Naoki Ikeda Japan 17 332 1.0× 194 0.6× 120 0.4× 234 1.3× 182 1.2× 66 942
Hsin‐Pai Li Taiwan 15 409 1.2× 295 0.9× 177 0.6× 156 0.8× 77 0.5× 29 943
H. Kaufmann Austria 23 907 2.8× 549 1.7× 92 0.3× 87 0.5× 103 0.7× 71 1.7k
Marinus J. Blok Netherlands 17 474 1.4× 231 0.7× 293 1.0× 54 0.3× 99 0.7× 38 1.2k
Jennifer Fuller United States 14 301 0.9× 160 0.5× 322 1.1× 287 1.6× 173 1.2× 32 1.1k
L. Athlin Sweden 12 223 0.7× 324 1.0× 102 0.4× 264 1.4× 165 1.1× 34 911
Bert Top Netherlands 17 419 1.3× 375 1.2× 164 0.6× 42 0.2× 239 1.6× 31 990
Surya Pavan Yenamandra Sweden 17 448 1.4× 132 0.4× 192 0.7× 91 0.5× 116 0.8× 21 760

Countries citing papers authored by Howard B. Urnovitz

Since Specialization
Citations

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

Fields of papers citing papers by Howard B. Urnovitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard B. Urnovitz. 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 Howard B. Urnovitz. The network helps show where Howard B. Urnovitz may publish in the future.

Co-authorship network of co-authors of Howard B. Urnovitz

This figure shows the co-authorship network connecting the top 25 collaborators of Howard B. Urnovitz. A scholar is included among the top collaborators of Howard B. Urnovitz 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 Howard B. Urnovitz. Howard B. Urnovitz 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.
Chudasama, Dimple, Periklis Katopodis, Nicholas Stone, et al.. (2019). Liquid Biopsies in Lung Cancer: Four Emerging Technologies and Potential Clinical Applications. Cancers. 11(3). 331–331. 14 indexed citations
2.
Weiss, Glen J., Julia Beck, Donald P. Braun, et al.. (2017). Tumor Cell–Free DNA Copy Number Instability Predicts Therapeutic Response to Immunotherapy. Clinical Cancer Research. 23(17). 5074–5081. 113 indexed citations
3.
Kundranda, Madappa N., Alexander Köenig, Kirsten Bornemann-Kolatzki, et al.. (2017). Tumor cell-free DNA copy number instability compared to CA19-9 as an early predictor of response to systemic therapy in pancreatic ductal adenocarcinoma (PDAC).. Journal of Clinical Oncology. 35(15_suppl). e14524–e14524. 1 indexed citations
4.
Weiss, Glen J., Lisa Blaydorn, Julia Beck, et al.. (2017). Phase Ib/II study of gemcitabine, nab-paclitaxel, and pembrolizumab in metastatic pancreatic adenocarcinoma. Investigational New Drugs. 36(1). 96–102. 163 indexed citations
5.
Beck, Julia, Kirsten Bornemann-Kolatzki, Howard B. Urnovitz, et al.. (2013). Genome Aberrations in Canine Mammary Carcinomas and Their Detection in Cell-Free Plasma DNA. PLoS ONE. 8(9). e75485–e75485. 49 indexed citations
6.
Beck, Julia, Howard B. Urnovitz, William M. Mitchell, & Ekkehard Schütz. (2010). Next Generation Sequencing of Serum Circulating Nucleic Acids from Patients with Invasive Ductal Breast Cancer Reveals Differences to Healthy and Nonmalignant Controls. Molecular Cancer Research. 8(3). 335–342. 48 indexed citations
7.
Beck, Julia, Howard B. Urnovitz, Marina Saresella, et al.. (2010). Serum DNA Motifs Predict Disease and Clinical Status in Multiple Sclerosis. Journal of Molecular Diagnostics. 12(3). 312–319. 18 indexed citations
8.
Beck, Julia, Howard B. Urnovitz, Martin H. Groschup, et al.. (2009). Serum Nucleic Acids in an Experimental Bovine Transmissible Spongiform Encephalopathy Model. Zoonoses and Public Health. 56(6-7). 384–390. 5 indexed citations
9.
Beck, Julia, Howard B. Urnovitz, J. Riggert, Mario Clerici, & Ekkehard Schütz. (2009). Profile of the Circulating DNA in Apparently Healthy Individuals. Clinical Chemistry. 55(4). 730–738. 76 indexed citations
10.
11.
Schütz, Ekkehard, et al.. (2004). Serum Nucleic Acids Directly Correlate to BSE Risk. 1 indexed citations
12.
Veljković, Veljko, et al.. (2001). AIDS epidemic at the beginning of the third millennium: time for a new AIDS vaccine strategy. Vaccine. 19(15-16). 1855–1862. 12 indexed citations
13.
Clerici, Mario, Maria Luisa Fusi, Domenico Caputo, et al.. (1999). Immune responses to antigens of human endogenous retroviruses in patients with acute or stable multiple sclerosis. Journal of Neuroimmunology. 99(2). 173–182. 25 indexed citations
14.
Urnovitz, Howard B., et al.. (1999). Urine Antibody Tests: New Insights into the Dynamics of HIV-1 Infection. Clinical Chemistry. 45(9). 1602–1613. 23 indexed citations
15.
Urnovitz, Howard B., et al.. (1999). RNAs in the Sera of Persian Gulf War Veterans Have Segments Homologous to Chromosome 22q11.2. Clinical and Diagnostic Laboratory Immunology. 6(3). 330–335. 22 indexed citations
16.
Urnovitz, Howard B., et al.. (1997). Increased sensitivity of HIV-1 antibody detection. Nature Medicine. 3(11). 1258–1258. 20 indexed citations
17.
Urnovitz, Howard B. & William H. Murphy. (1996). Human endogenous retroviruses: nature, occurrence, and clinical implications in human disease. Clinical Microbiology Reviews. 9(1). 72–99. 163 indexed citations
18.
Urnovitz, Howard B., et al.. (1996). Urine-based diagnostic technologies. Trends in biotechnology. 14(10). 361–364. 13 indexed citations
19.
Urnovitz, Howard B., et al.. (1990). HIV-1 testing: product development strategies. Trends in biotechnology. 8(2). 35–40. 7 indexed citations
20.
Urnovitz, Howard B., et al.. (1988). IgA:IgM and IgA:IgA hybrid hybridomas secrete heteropolymeric immunoglobulins that are polyvalent and bispecific.. The Journal of Immunology. 140(2). 558–563. 12 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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