Peter LaCelle

446 total citations
8 papers, 391 citations indexed

About

Peter LaCelle is a scholar working on Pulmonary and Respiratory Medicine, Cell Biology and Pharmacology. According to data from OpenAlex, Peter LaCelle has authored 8 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Cell Biology and 2 papers in Pharmacology. Recurrent topics in Peter LaCelle's work include Skin and Cellular Biology Research (3 papers), Blood properties and coagulation (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Peter LaCelle is often cited by papers focused on Skin and Cellular Biology Research (3 papers), Blood properties and coagulation (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Peter LaCelle collaborates with scholars based in United States and Canada. Peter LaCelle's co-authors include Richard L. Eckert, Tatiana Efimova, Jean F. Welter, Nancy Robinson, Catherine S. Tripp, K Chinn, Alice P. Pentland, Medora M. Hardy, Eric A.G. Blomme and Renata Polakowska and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Investigative Dermatology and Journal of Cellular Biochemistry.

In The Last Decade

Peter LaCelle

8 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter LaCelle United States	6	171	136	101	51	44	8	391
Hyeon Gyeong Yoo South Korea	11	153 0.9×	114 0.8×	170 1.7×	32 0.6×	51 1.2×	13	527
Michael T. Sturniolo United States	7	172 1.0×	139 1.0×	95 0.9×	27 0.5×	31 0.7×	7	440
Taro Masaki Japan	12	192 1.1×	57 0.4×	139 1.4×	32 0.6×	63 1.4×	30	434
Frederic Bone United States	9	248 1.5×	94 0.7×	74 0.7×	26 0.5×	54 1.2×	11	472
Dominique Fagot France	12	124 0.7×	69 0.5×	168 1.7×	19 0.4×	25 0.6×	22	370
Rujing Han United States	4	91 0.5×	74 0.5×	145 1.4×	158 3.1×	44 1.0×	4	376
Gabriele Hüppe France	8	145 0.8×	98 0.7×	129 1.3×	19 0.4×	28 0.6×	10	408
Ute Breitenbach Germany	12	261 1.5×	92 0.7×	129 1.3×	13 0.3×	52 1.2×	13	504
Masakazu Kawaguchi Japan	13	89 0.5×	126 0.9×	89 0.9×	18 0.4×	19 0.4×	29	365
Marina Gartsbein Israel	9	222 1.3×	112 0.8×	125 1.2×	15 0.3×	42 1.0×	10	570

Countries citing papers authored by Peter LaCelle

Since Specialization

Citations

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

Fields of papers citing papers by Peter LaCelle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter LaCelle

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

All Works

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8 of 8 papers shown

1.

Konger, Raymond L., Steven D. Billings, Terrence M. Katona, et al.. (2009). The EP1 subtype of prostaglandin E2 receptor: Role in keratinocyte differentiation and expression in non-melanoma skin cancer. Prostaglandins Leukotrienes and Essential Fatty Acids. 81(4). 279–290. 15 indexed citations

2.

Tripp, Catherine S., Eric A.G. Blomme, K Chinn, et al.. (2003). Epidermal COX-2 Induction Following Ultraviolet Irradiation: Suggested Mechanism for the Role of COX-2 Inhibition in Photoprotection. Journal of Investigative Dermatology. 121(4). 853–861. 130 indexed citations

3.

Polakowska, Renata, et al.. (1999). Transcription regulatory elements of the first intron control human transglutaminase type I gene expression in epidermal keratinocytes. Journal of Cellular Biochemistry. 73(3). 355–369. 5 indexed citations

4.

Polakowska, Renata, et al.. (1999). Transcription regulatory elements of the first intron control human transglutaminase type I gene expression in epidermal keratinocytes. Journal of Cellular Biochemistry. 73(3). 355–369. 22 indexed citations

5.

Efimova, Tatiana, Peter LaCelle, Jean F. Welter, & Richard L. Eckert. (1998). Regulation of Human Involucrin Promoter Activity by a Protein Kinase C, Ras, MEKK1, MEK3, p38/RK, AP1 Signal Transduction Pathway. Journal of Biological Chemistry. 273(38). 24387–24395. 136 indexed citations

6.

LaCelle, Peter, et al.. (1998). In vitro Cross-Linking of Recombinant Human Involucrin. Skin Pharmacology and Physiology. 11(4-5). 214–226. 25 indexed citations

7.

Efimova, Tatiana, et al.. (1998). Regulation of human involucrin promoter activity by a protein kinase C, RAS, MEKK, and activator protein-1 signal transduction pathway. Journal of Dermatological Science. 16. S132–S132. 4 indexed citations

8.

Robinson, Nancy, et al.. (1996). Involucrin Is a Covalently Crosslinked Constituent of Highly Purified Epidermal Corneocytes: Evidence for a Common Pattern of Involucrin Crosslinking in Vivo and in Vitro. Journal of Investigative Dermatology. 107(1). 101–107. 54 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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