Tanja S. Zabka

2.1k total citations
51 papers, 1.4k citations indexed

About

Tanja S. Zabka is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tanja S. Zabka has authored 51 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Immunology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tanja S. Zabka's work include Marine Toxins and Detection Methods (7 papers), Nicotinic Acetylcholine Receptors Study (6 papers) and Statistical Methods in Clinical Trials (5 papers). Tanja S. Zabka is often cited by papers focused on Marine Toxins and Detection Methods (7 papers), Nicotinic Acetylcholine Receptors Study (6 papers) and Statistical Methods in Clinical Trials (5 papers). Tanja S. Zabka collaborates with scholars based in United States, Switzerland and Japan. Tanja S. Zabka's co-authors include Peter S. Dragovich, Dinah Misner, Deepak Sampath, Thomas O’Brien, Gregg W. Langlois, Martin Haulena, Frances M. D. Gulland, John S. Ramsdell, Michelle E. Lander and Rebecca S. Duerr and has published in prestigious journals such as Journal of the American College of Cardiology, The Journal of Physiology and Cancer Research.

In The Last Decade

Tanja S. Zabka

48 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja S. Zabka United States 21 528 374 199 168 157 51 1.4k
Ada Elgavish United States 22 797 1.5× 77 0.2× 286 1.4× 261 1.6× 64 0.4× 76 2.0k
Junichi Maruyama Japan 24 812 1.5× 916 2.4× 69 0.3× 20 0.1× 148 0.9× 87 1.9k
Gerald Pfister Austria 24 815 1.5× 116 0.3× 224 1.1× 13 0.1× 143 0.9× 37 2.0k
B. Auer Austria 20 1.0k 2.0× 244 0.7× 647 3.3× 14 0.1× 252 1.6× 41 1.7k
Giuseppe Terrazzano Italy 27 419 0.8× 116 0.3× 223 1.1× 9 0.1× 212 1.4× 73 2.1k
Xiaolu Zhao China 28 1.7k 3.2× 131 0.4× 171 0.9× 16 0.1× 24 0.2× 71 2.3k
Yan Jiang China 23 920 1.7× 129 0.3× 228 1.1× 6 0.0× 71 0.5× 82 2.1k
Yixuan Li China 13 1.4k 2.7× 18 0.0× 342 1.7× 64 0.4× 40 0.3× 46 1.8k
Hongxia Wang China 25 679 1.3× 88 0.2× 466 2.3× 6 0.0× 142 0.9× 63 2.0k

Countries citing papers authored by Tanja S. Zabka

Since Specialization
Citations

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

Fields of papers citing papers by Tanja S. Zabka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanja S. Zabka. 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 Tanja S. Zabka. The network helps show where Tanja S. Zabka may publish in the future.

Co-authorship network of co-authors of Tanja S. Zabka

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja S. Zabka. A scholar is included among the top collaborators of Tanja S. Zabka 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 Tanja S. Zabka. Tanja S. Zabka 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.
Zabka, Tanja S., Michael Lawton, Tom Chu, et al.. (2025). Biomarkers of Drug‐Induced Kidney Injury: Use in Clinical Trials and Recent Examples of Impact on Drug Development. Clinical Pharmacology & Therapeutics. 119(3). 608–617.
2.
Wu, Kai, Adeyemi O. Adedeji, Tanja S. Zabka, et al.. (2024). Nonclinical pharmacokinetics, pharmacodynamics and safety assessment of a FLT3L-Fc molecule for cancer immunotherapy. Toxicology and Applied Pharmacology. 483. 116837–116837. 3 indexed citations
3.
Flower, Jennifer E., et al.. (2022). INVESTIGATION OF THE USE OF SERUM BIOMARKERS FOR THE DETECTION OF CARDIAC DISEASE IN MARINE MAMMALS. Journal of Zoo and Wildlife Medicine. 53(2). 373–382. 3 indexed citations
5.
Zabka, Tanja S., Audrey Ruple, Dietrich Tuerck, et al.. (2021). Phase I/II Trial of Vemurafenib in Dogs with Naturally Occurring, BRAF -mutated Urothelial Carcinoma. Molecular Cancer Therapeutics. 20(11). 2177–2188. 18 indexed citations
6.
Miller, Melissa A., Pádraig J. Duignan, Tanja S. Zabka, et al.. (2021). Clinical Signs and Pathology Associated With Domoic Acid Toxicosis in Southern Sea Otters (Enhydra lutris nereis). Frontiers in Marine Science. 8. 12 indexed citations
7.
Zabka, Tanja S., John E. Burkhardt, William J. Reagan, et al.. (2020). The use of emerging safety biomarkers in nonclinical and clinical safety assessment – The current and future state: An IQ DruSafe industry survey. Regulatory Toxicology and Pharmacology. 120. 104857–104857. 2 indexed citations
9.
Menetski, Joseph P., John A. Wagner, Linda S. Brady, et al.. (2017). What evidence do we need for biomarker qualification?. Science Translational Medicine. 9(417). 45 indexed citations
10.
Wang, Peiyin, Maria Hristopoulos, Robyn Clark, et al.. (2017). Abstract 3628: T cell-dependent bispecific antibody anti-CD79b/CD3 as a potential therapy for B-cell malignancies. Cancer Research. 77(13_Supplement). 3628–3628. 1 indexed citations
11.
Misner, Dinah, M. Ariel Kauss, Jatinder Singh, et al.. (2016). Cardiotoxicity Associated with Nicotinamide Phosphoribosyltransferase Inhibitors in Rodents and in Rat and Human-Derived Cells Lines. Cardiovascular Toxicology. 17(3). 307–318. 18 indexed citations
12.
Burch, Peter M., Elizabeth G. Walker, William M. Bracken, et al.. (2015). Evaluation of the Relative Performance of Drug-Induced Skeletal Muscle Injury Biomarkers in Rats. Toxicological Sciences. 150(1). 247–256. 35 indexed citations
13.
Tarrant, Jacqueline M., Preeti Dhawan, Jatinder Singh, et al.. (2015). Preclinical models of nicotinamide phosphoribosyltransferase inhibitor-mediated hematotoxicity and mitigation by co-treatment with nicotinic acid. Toxicology Mechanisms and Methods. 25(3). 201–211. 23 indexed citations
14.
Engelhardt, Jeffery A., Silvia Guionaud, Scott P. Henry, et al.. (2015). Scientific and Regulatory Policy Committee Points-to-consider Paper*. Toxicologic Pathology. 43(7). 935–944. 28 indexed citations
15.
Zabka, Tanja S., Michael G. Irwin, & Mudher Albassam. (2009). Spontaneous Cardiomyopathy in Cynomolgus Monkeys ( Macaca Fascicularis ). Toxicologic Pathology. 37(6). 814–818. 8 indexed citations
16.
Goldstein, Tracey, Tanja S. Zabka, Robert L. DeLong, et al.. (2009). THE ROLE OF DOMOIC ACID IN ABORTION AND PREMATURE PARTURITION OF CALIFORNIA SEA LIONS (ZALOPHUS CALIFORNIANUS) ON SAN MIGUEL ISLAND, CALIFORNIA. Journal of Wildlife Diseases. 45(1). 91–108. 53 indexed citations
17.
Olaharski, Andrew, Hirdesh Uppal, Matthew N. Cooper, et al.. (2009). In vitro to in vivo concordance of a high throughput assay of bone marrow toxicity across a diverse set of drug candidates. Toxicology Letters. 188(2). 98–103. 21 indexed citations
18.
Ramsdell, John S. & Tanja S. Zabka. (2008). In Utero Domoic Acid Toxicity: A Fetal Basis to Adult Disease in the California Sea Lion (Zalophus californianus). Marine Drugs. 6(2). 262–290. 50 indexed citations
19.
Zabka, Tanja S., et al.. (2004). Primary Intra-axial Leiomyosarcoma with Obstructive Hydrocephalus in a Young Dog. Journal of Comparative Pathology. 131(4). 334–337. 6 indexed citations
20.
Zabka, Tanja S., et al.. (2003). Pleomorphic Rhabdomyosarcoma with Pulmonary Metastasis in a Stranded Steller (Northern) Sea Lion (Eumetopias jubatus). Journal of Comparative Pathology. 130(2-3). 195–198. 3 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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