Michael Kulka

1.7k total citations
58 papers, 1.4k citations indexed

About

Michael Kulka is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael Kulka has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 21 papers in Epidemiology and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael Kulka's work include Viral gastroenteritis research and epidemiology (22 papers), Viral Infections and Immunology Research (19 papers) and Herpesvirus Infections and Treatments (18 papers). Michael Kulka is often cited by papers focused on Viral gastroenteritis research and epidemiology (22 papers), Viral Infections and Immunology Research (19 papers) and Herpesvirus Infections and Treatments (18 papers). Michael Kulka collaborates with scholars based in United States, Germany and Netherlands. Michael Kulka's co-authors include Laure Aurelian, Cynthia C. Smith, Efstathia Papafragkou, Theodore D. Chung, James Wymer, Paul S. Miller, Samantha Q. Wales, Christopher A. Elkins, Paul O. P. Ts’o and Biswendu B. Goswami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Michael Kulka

57 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Kulka United States 22 425 423 325 207 204 58 1.4k
Qingbing Zheng China 17 367 0.9× 416 1.0× 260 0.8× 198 1.0× 87 0.4× 61 1.1k
Hoorieh Soleimanjahi Iran 20 419 1.0× 455 1.1× 185 0.6× 79 0.4× 184 0.9× 125 1.3k
Mingzhou Chen China 20 392 0.9× 471 1.1× 322 1.0× 45 0.2× 126 0.6× 44 1.2k
Zhenhua Zheng China 28 933 2.2× 335 0.8× 585 1.8× 218 1.1× 159 0.8× 114 2.1k
Tsai‐Yu Lin Taiwan 19 467 1.1× 218 0.5× 556 1.7× 182 0.9× 74 0.4× 39 1.6k
Gregory J. Tobin United States 21 517 1.2× 324 0.8× 226 0.7× 58 0.3× 239 1.2× 49 1.3k
Laura M Palermo United States 20 372 0.9× 641 1.5× 556 1.7× 155 0.7× 369 1.8× 24 1.5k
Tararaj Dharakul Thailand 28 696 1.6× 642 1.5× 499 1.5× 584 2.8× 115 0.6× 75 1.9k
Ella R. Hinson United States 12 615 1.4× 336 0.8× 321 1.0× 80 0.4× 124 0.6× 12 1.6k
Tam Nguyen United States 12 837 2.0× 344 0.8× 248 0.8× 53 0.3× 382 1.9× 15 1.4k

Countries citing papers authored by Michael Kulka

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kulka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kulka

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kulka. A scholar is included among the top collaborators of Michael Kulka 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 Michael Kulka. Michael Kulka 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.
Yang, Zhihui, Michael Kulka, Qianru Yang, et al.. (2024). Whole-Genome Sequencing-Based Confirmatory Methods on RT-qPCR Results for the Detection of Foodborne Viruses in Frozen Berries. Food and Environmental Virology. 16(2). 225–240. 5 indexed citations
2.
Nie, Chuanxiong, et al.. (2022). Virus removal from aqueous environments with polyelectrolyte coatings on a polypropylene fleece. Journal of Applied Polymer Science. 140(6). 1 indexed citations
3.
Kulka, Michael, Chuanxiong Nie, Yannic Kerkhoff, et al.. (2020). Surface‐Initiated Grafting of Dendritic Polyglycerol from Mussel‐Inspired Adhesion‐Layers for the Creation of Cell‐Repelling Coatings. Advanced Materials Interfaces. 7(24). 4 indexed citations
4.
Kulka, Michael, Chuanxiong Nie, Yannic Kerkhoff, et al.. (2020). The Application of Dual‐Layer, Mussel‐Inspired, Antifouling Polyglycerol‐Based Coatings in Ventricular Assist Devices. Advanced Materials Interfaces. 7(21). 10 indexed citations
5.
Yu, Christine, Kaoru Hida, Efstathia Papafragkou, & Michael Kulka. (2020). Evaluation of U.S. Food and Drug Administration Enteric Viruses Microarray for Detection of Hepatitis A Virus and Norovirus in Inoculated Tomatoes, Green Onions, and Celery. Journal of Food Protection. 83(9). 1576–1583. 3 indexed citations
6.
Kulka, Michael, et al.. (2019). Mussel-Inspired Multivalent Linear Polyglycerol Coatings Outperform Monovalent Polyethylene Glycol Coatings in Antifouling Surface Properties. ACS Applied Bio Materials. 2(12). 5749–5759. 20 indexed citations
7.
Li, Mingjun, Christoph Schlaich, Michael Kulka, et al.. (2019). Mussel-inspired coatings with tunable wettability, for enhanced antibacterial efficiency and reduced bacterial adhesion. Journal of Materials Chemistry B. 7(21). 3438–3445. 39 indexed citations
8.
9.
Hida, Kaoru, Efstathia Papafragkou, & Michael Kulka. (2017). Testing for Human Norovirus and Recovery of Process Control in Outbreak-Associated Produce Items. Journal of Food Protection. 81(1). 105–114. 14 indexed citations
10.
Steendam, René R. E., Michael Kulka, Hugo Meekes, et al.. (2014). Enantiopure Isoindolinones through Viedma Ripening. Chemistry - A European Journal. 20(42). 13527–13530. 38 indexed citations
11.
Yakes, Betsy Jean, Efstathia Papafragkou, John D. Neill, et al.. (2013). Surface plasmon resonance biosensor for detection of feline calicivirus, a surrogate for norovirus. International Journal of Food Microbiology. 162(2). 152–158. 41 indexed citations
12.
Wales, Samantha Q., et al.. (2012). Temperature and density dependent induction of a cytopathic effect following infection with non-cytopathic HAV strains. Virology. 430(1). 30–42. 6 indexed citations
14.
Kulka, Michael, Scott A. Jackson, Isha R. Patel, et al.. (2009). A Microarray Based Approach for the Identification of Common Foodborne Viruses. PubMed. 3(1). 7–20. 15 indexed citations
15.
Goswami, Biswendu B., et al.. (2002). A Polymerase Chain Reaction–Based Method for the Detection of Hepatitis A Virus in Produce and Shellfish. Journal of Food Protection. 65(2). 393–402. 15 indexed citations
16.
Kulka, Michael, et al.. (1996). Herpes Simplex Virus-Mediated Activation of Human Immunodeficiency Virus Is Inhibited by Oligonucleoside Methylphosphonates That Target Immediate-Early mRNAs 1 and 3. Antisense and Nucleic Acid Drug Development. 6(1). 25–35. 7 indexed citations
18.
Hunter, John C., Cynthia C. Smith, Debashish Bose, et al.. (1995). Intracellular Internalization and Signaling Pathways Triggered by the Large Subunit of HSV-2 Ribonucleotide Reductase (ICP10). Virology. 210(2). 345–360. 22 indexed citations
19.
Smith, Cynthia C., Michael Kulka, James Wymer, Theodore D. Chung, & Laure Aurelian. (1992). Expression of the large subunit of herpes simplex virus type 2 ribonucleotide reductase (ICP10) is required for virus growth and neoplastic transformation. Journal of General Virology. 73(6). 1417–1428. 23 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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