Daniel P. Kestler

958 total citations
38 papers, 738 citations indexed

About

Daniel P. Kestler is a scholar working on Molecular Biology, Oral Surgery and Nutrition and Dietetics. According to data from OpenAlex, Daniel P. Kestler has authored 38 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Oral Surgery and 7 papers in Nutrition and Dietetics. Recurrent topics in Daniel P. Kestler's work include Oral and Maxillofacial Pathology (8 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers) and Bone and Dental Protein Studies (6 papers). Daniel P. Kestler is often cited by papers focused on Oral and Maxillofacial Pathology (8 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers) and Bone and Dental Protein Studies (6 papers). Daniel P. Kestler collaborates with scholars based in United States, Germany and Israel. Daniel P. Kestler's co-authors include Mark Wakulchik, Byoung S. Kwon, Alan Solomon, Deborah Weiss, Ruth Halaban, Charles L. Murphy, James S. Foster, Robert E. Hall, Sallie Macy and C. C. Black and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Cancer Research.

In The Last Decade

Daniel P. Kestler

37 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Kestler United States 15 423 182 145 107 96 38 738
Didier Ferbus France 15 610 1.4× 80 0.4× 40 0.3× 55 0.5× 179 1.9× 36 871
Samuel D. Balk United States 14 426 1.0× 78 0.4× 20 0.1× 28 0.3× 56 0.6× 24 790
Joseph Briggs United States 14 414 1.0× 54 0.3× 24 0.2× 60 0.6× 61 0.6× 17 656
Helen J. Blair United Kingdom 16 747 1.8× 49 0.3× 49 0.3× 27 0.3× 104 1.1× 39 1.3k
Michael D. Tavaria Australia 6 704 1.7× 104 0.6× 23 0.2× 133 1.2× 105 1.1× 7 977
F. Descalzi Cancedda Italy 13 444 1.0× 111 0.6× 42 0.3× 342 3.2× 36 0.4× 16 801
A Leder United States 11 787 1.9× 100 0.5× 13 0.1× 51 0.5× 140 1.5× 15 1.2k
Marko Novinec Slovenia 18 520 1.2× 73 0.4× 20 0.1× 96 0.9× 70 0.7× 42 936
Christine Kim United States 13 465 1.1× 294 1.6× 14 0.1× 9 0.1× 82 0.9× 29 868
Jerry Ting United States 7 835 2.0× 473 2.6× 16 0.1× 67 0.6× 115 1.2× 8 1.1k

Countries citing papers authored by Daniel P. Kestler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Kestler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Kestler. 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 Daniel P. Kestler. The network helps show where Daniel P. Kestler may publish in the future.

Co-authorship network of co-authors of Daniel P. Kestler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Kestler. A scholar is included among the top collaborators of Daniel P. Kestler 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 Daniel P. Kestler. Daniel P. Kestler 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
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Gandhi, Sagar, Daniel P. Kestler, R. Eric Heidel, et al.. (2013). Nuclear Odontogenic Ameloblast-Associated Protein (ODAM) Correlates with Melanoma Sentinel Lymph Node Metastasis. Journal of Cancer Therapy. 4(8). 1283–1289. 2 indexed citations
4.
Murphy, Charles L., Daniel P. Kestler, Deborah Weiss, & Alan Solomon. (2011). Non-hereditary apolipoprotein AI-associated pulmonary amyloid. Amyloid. 18(sup1). 219–220. 4 indexed citations
5.
Murphy, Charles L., S. Wang, Daniel P. Kestler, et al.. (2011). Leukocyte chemotactic factor 2 (LECT2)-associated renal amyloidosis. Amyloid. 18(sup1). 223–225. 10 indexed citations
6.
Ren, Changchun, Marina Gonçalves Diniz, Caterina Piazza, et al.. (2011). Differential Enamel and Osteogenic Gene Expression Profiles in Odontogenic Tumors. Cells Tissues Organs. 194(2-4). 296–301. 12 indexed citations
7.
Kestler, Daniel P., James S. Foster, Stephen J. Kennel, et al.. (2010). Inhibition of pathologic immunoglobulin-free light chain production by small interfering RNA molecules. Experimental Hematology. 38(11). 1006–1013. 20 indexed citations
8.
Murphy, Charles L., Daniel P. Kestler, Christopher P. Larsen, et al.. (2010). Leukocyte Chemotactic Factor 2 (LECT2)-Associated Renal Amyloidosis: A Case Series. American Journal of Kidney Diseases. 56(6). 1100–1107. 54 indexed citations
9.
Murphy, Charles L., et al.. (2009). AA amyloidosis associated with a mutated serum amyloid A4 protein. Amyloid. 16(2). 84–88. 9 indexed citations
10.
Daley, Brian J., et al.. (2006). Regulation of Apoptosis in Eicosapentaenoic Acid-Treated HL-60 Cells. Journal of Surgical Research. 137(1). 141–150. 8 indexed citations
11.
Solomon, Alan, Charles L. Murphy, Daniel P. Kestler, et al.. (2006). Amyloid contained in the knee joint meniscus is formed from apolipoprotein A‐I. Arthritis & Rheumatism. 54(11). 3545–3550. 37 indexed citations
12.
Kestler, Daniel P., et al.. (2006). Effects of siRNAs in combination with Gleevec on K-562 cell proliferation and Bcr-Abl expression. Journal of Biomedical Science. 13(4). 499–507. 12 indexed citations
13.
Gengozian, N., James S. Foster, & Daniel P. Kestler. (2005). Characterization of a monoclonal antibody identifying a CD45RA antigen on feline leukocytes. Veterinary Immunology and Immunopathology. 108(3-4). 253–264. 3 indexed citations
14.
Hall, Robert E., et al.. (2000). Induction of Leukemia Cell Differentiation and Apoptosis by Recombinant P48, a Modulin Derived from Mycoplasma fermentans. Biochemical and Biophysical Research Communications. 269(1). 284–289. 17 indexed citations
15.
Kestler, Daniel P., et al.. (2000). Use of Bidirectional Blots in Differential Display Analysis. Analytical Biochemistry. 280(2). 216–220. 4 indexed citations
16.
Kestler, Daniel P., et al.. (1999). Hematopoietic differentiation activity of a recombinant human interleukin-6 (IL-6) isoform resulting from alternatively spliced deletion of the second exon. American Journal of Hematology. 61(3). 169–177. 11 indexed citations
17.
Kwon, Byoung S., Mark Wakulchik, Daniel P. Kestler, et al.. (1989). Isolation, Chromosomal Mapping, and Expression of the Mouse Tyrosinase Gene. Journal of Investigative Dermatology. 93(5). 589–594. 52 indexed citations
18.
Kwon, Byoung S., et al.. (1989). Expression characteristics of two potential T cell mediator genes. Cellular Immunology. 121(2). 414–422. 30 indexed citations
19.
Kwon, Byoung S., et al.. (1988). Sequence analysis of mouse tyrosinase cDNA and the effect of melanotropin on its gene expression. Biochemical and Biophysical Research Communications. 153(3). 1301–1309. 141 indexed citations
20.
Kwon, Byoung S., Daniel P. Kestler, E Lee, Mark Wakulchik, & John Ding‐E Young. (1988). Isolation and sequence analysis of serine protease cDNAs from mouse cytolytic T lymphocytes.. The Journal of Experimental Medicine. 168(5). 1839–1854. 27 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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