Peter F. Slivka

1.6k total citations · 1 hit paper
14 papers, 792 citations indexed

About

Peter F. Slivka is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Peter F. Slivka has authored 14 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Surgery. Recurrent topics in Peter F. Slivka's work include Tissue Engineering and Regenerative Medicine (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Neuropeptides and Animal Physiology (3 papers). Peter F. Slivka is often cited by papers focused on Tissue Engineering and Regenerative Medicine (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Neuropeptides and Animal Physiology (3 papers). Peter F. Slivka collaborates with scholars based in United States, Australia and Ireland. Peter F. Slivka's co-authors include Stephen F. Badylak, Christopher L. Dearth, Melanie C. Ruzek, Kathy Banahan, Román Fischer, Marah C. Runtsch, Stefano Angiari, Chris Ling, Alexander Hooftman and Alan D. Irvine and has published in prestigious journals such as Biomaterials, Biochemistry and Cell Metabolism.

In The Last Decade

Peter F. Slivka

14 papers receiving 789 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Immunomodulatory Metabolite Itaconate Modifies NLRP3 and Inhibits Inflammasome Activation

2020 406 citations Alexander Hooftman, Stefano Angiari et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter F. Slivka United States	10	370	257	219	144	107	14	792
Scott Chaffee United States	7	340 0.9×	306 1.2×	134 0.6×	84 0.6×	97 0.9×	7	924
Nowruz Delirezh Iran	16	425 1.1×	274 1.1×	130 0.6×	98 0.7×	89 0.8×	55	933
Yong Fang China	18	502 1.4×	149 0.6×	101 0.5×	79 0.5×	51 0.5×	35	1.0k
Kelvin S. Ng United States	8	514 1.4×	212 0.8×	159 0.7×	61 0.4×	88 0.8×	8	733
Svetlana I. Galkina Russia	17	527 1.4×	253 1.0×	111 0.5×	34 0.2×	66 0.6×	47	967
Emmett Pinney United States	10	600 1.6×	83 0.3×	142 0.6×	159 1.1×	102 1.0×	12	1.1k
Giancarlo Nastasi Italy	17	303 0.8×	156 0.6×	103 0.5×	46 0.3×	56 0.5×	23	1.0k
Junhui Liu China	22	478 1.3×	93 0.4×	292 1.3×	40 0.3×	165 1.5×	83	1.3k
Chiju Wei China	15	365 1.0×	218 0.8×	454 2.1×	74 0.5×	69 0.6×	52	1.1k
Kowser Hasneen United States	12	486 1.3×	168 0.7×	134 0.6×	47 0.3×	78 0.7×	16	860

Countries citing papers authored by Peter F. Slivka

Since Specialization

Citations

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

Fields of papers citing papers by Peter F. Slivka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter F. Slivka. 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 Peter F. Slivka. The network helps show where Peter F. Slivka may publish in the future.

Co-authorship network of co-authors of Peter F. Slivka

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

All Works

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14 of 14 papers shown

Su, Zhi, Peter F. Slivka, J. Wetter, et al.. (2023). Importance of PLD2 in an IL‐23 driven psoriasiform dermatitis model and potential link to human psoriasis. The Journal of Dermatology. 50(10). 1321–1329. 2 indexed citations

Lipovsky, Alex, Peter F. Slivka, Zhi Su, et al.. (2021). ACT1 Is Required for Murine IL-23–Induced Psoriasiform Inflammation Potentially Independent of E3 Ligase Activity. Journal of Investigative Dermatology. 141(7). 1772–1779.e6. 5 indexed citations

Hooftman, Alexander, Stefano Angiari, Svenja Hester, et al.. (2020). The Immunomodulatory Metabolite Itaconate Modifies NLRP3 and Inhibits Inflammasome Activation. Cell Metabolism. 32(3). 468–478.e7. 406 indexed citations breakdown →

Ruzek, Melanie C., Lili Huang, Shaughn H. Bryant, et al.. (2018). Dual Blockade of Interleukin-1β and Interleukin-17A Reduces Murine Arthritis Pathogenesis but Also Leads to Spontaneous Skin Infections in Nonhuman Primates. Journal of Pharmacology and Experimental Therapeutics. 364(3). 474–484. 7 indexed citations

Slivka, Peter F., et al.. (2015). Solubilized extracellular matrix from brain and urinary bladder elicits distinct functional and phenotypic responses in macrophages. Biomaterials. 46. 131–140. 73 indexed citations

Dearth, Christopher L., Peter F. Slivka, Scott Stewart, et al.. (2015). Inhibition of COX1/2 alters the host response and reduces ECM scaffold mediated constructive tissue remodeling in a rodent model of skeletal muscle injury. Acta Biomaterialia. 31. 50–60. 47 indexed citations

Slivka, Peter F., Christopher L. Dearth, Timothy J. Keane, et al.. (2014). Fractionation of an ECM hydrogel into structural and soluble components reveals distinctive roles in regulating macrophage behavior. Biomaterials Science. 2(10). 1521–1534. 60 indexed citations

Crapo, Peter M., Stephen Tottey, Peter F. Slivka, & Stephen F. Badylak. (2013). Effects of Biologic Scaffolds on Human Stem Cells and Implications for CNS Tissue Engineering. Tissue Engineering Part A. 20(1-2). 313–323. 75 indexed citations

Slivka, Peter F., et al.. (2013). Defining a Key Receptor–CheA Kinase Contact and Elucidating Its Function in the Membrane-Bound Bacterial Chemosensory Array: A Disulfide Mapping and TAM-IDS Study. Biochemistry. 52(22). 3866–3880. 34 indexed citations

10.

Slivka, Peter F. & Joseph J. Falke. (2012). Isolated Bacterial Chemosensory Array Possesses Quasi- and Ultrastable Components: Functional Links between Array Stability, Cooperativity, and Order. Biochemistry. 51(51). 10218–10228. 12 indexed citations

11.

Liu, Liping, Nilanjan Ghosh, Peter F. Slivka, et al.. (2011). An MD2 Hot‐Spot‐Mimicking Peptide that Suppresses TLR4‐Mediated Inflammatory Response in vitro and in vivo. ChemBioChem. 12(12). 1827–1831. 13 indexed citations

12.

Slivka, Peter F., Gui‐in Lee, Deanne W. Sammond, et al.. (2009). A Peptide Antagonist of the TLR4–MD2 Interaction. ChemBioChem. 10(4). 645–649. 39 indexed citations

13.

Li, Ya, et al.. (2008). Design, Synthesis, and Evaluation of Biotinylated Opioid Derivatives as Novel Probes to Study Opioid Pharmacology. Bioconjugate Chemistry. 19(12). 2585–2589. 9 indexed citations

14.

Slivka, Peter F., Johnny Wong, Gregory A. Caputo, & Hang Yin. (2008). Peptide Probes for Protein Transmembrane Domains. ACS Chemical Biology. 3(7). 402–411. 10 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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