H. Randolph Byers

5.6k total citations
63 papers, 4.7k citations indexed

About

H. Randolph Byers is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, H. Randolph Byers has authored 63 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 26 papers in Cell Biology and 23 papers in Immunology and Allergy. Recurrent topics in H. Randolph Byers's work include Cell Adhesion Molecules Research (23 papers), Cellular Mechanics and Interactions (12 papers) and Immunotherapy and Immune Responses (8 papers). H. Randolph Byers is often cited by papers focused on Cell Adhesion Molecules Research (23 papers), Cellular Mechanics and Interactions (12 papers) and Immunotherapy and Immune Responses (8 papers). H. Randolph Byers collaborates with scholars based in United States, Netherlands and Japan. H. Randolph Byers's co-authors include Keigi Fujiwara, Martín C. Mihm, L. Thomas, Ivan Stamenkovic, Jacqueline Vink, Nancy Klauber, Thomas P. Stossel, John H. Hartwig, Paul A. Janmey and Casey Cunningham and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

H. Randolph Byers

63 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Randolph Byers United States 35 2.4k 1.7k 976 810 522 63 4.7k
Seung‐Taek Lee South Korea 35 2.9k 1.2× 1.1k 0.7× 529 0.5× 1.0k 1.3× 1.1k 2.1× 125 4.6k
Robert J. Eddy United States 34 2.4k 1.0× 3.0k 1.8× 1.4k 1.4× 751 0.9× 525 1.0× 49 5.2k
Carlo Tacchetti Italy 49 5.2k 2.2× 2.6k 1.5× 858 0.9× 1.1k 1.4× 859 1.6× 122 8.6k
Kurt S. Zänker Germany 40 2.1k 0.9× 1.2k 0.7× 745 0.8× 2.2k 2.7× 995 1.9× 148 6.1k
Pamela Cowin United States 40 4.1k 1.7× 1.8k 1.1× 347 0.4× 1.2k 1.4× 357 0.7× 72 5.7k
Reidar Albrechtsen Denmark 44 2.6k 1.1× 780 0.5× 1.9k 1.9× 1.6k 2.0× 1.0k 2.0× 112 6.0k
Thomas Leung Singapore 43 5.1k 2.1× 2.6k 1.5× 644 0.7× 1.2k 1.5× 929 1.8× 89 7.7k
Pier Carlo Marchisio Italy 43 5.9k 2.4× 2.2k 1.3× 1.6k 1.6× 2.2k 2.7× 862 1.7× 103 8.9k
Johan Kreuger Sweden 28 4.1k 1.7× 2.0k 1.2× 503 0.5× 931 1.1× 920 1.8× 57 6.3k
Toru Miki United States 37 6.6k 2.7× 2.8k 1.7× 434 0.4× 2.0k 2.4× 775 1.5× 77 9.2k

Countries citing papers authored by H. Randolph Byers

Since Specialization
Citations

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

Fields of papers citing papers by H. Randolph Byers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Randolph Byers. 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 H. Randolph Byers. The network helps show where H. Randolph Byers may publish in the future.

Co-authorship network of co-authors of H. Randolph Byers

This figure shows the co-authorship network connecting the top 25 collaborators of H. Randolph Byers. A scholar is included among the top collaborators of H. Randolph Byers 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 H. Randolph Byers. H. Randolph Byers 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.
Thurberg, Beth L., H. Randolph Byers, Scott R. Granter, et al.. (2004). Monitoring the 3-Year Efficacy of Enzyme Replacement Therapy in Fabry Disease by Repeated Skin Biopsies. Journal of Investigative Dermatology. 122(4). 900–908. 72 indexed citations
2.
Bullani, Roberto, Bertrand Huard, Jean‐Hilaire Saurat, et al.. (2001). Selective Expression of FLIP in Malignant Melanocytic Skin Lesions. Journal of Investigative Dermatology. 117(2). 360–364. 90 indexed citations
3.
Murakami, Takashi, et al.. (2001). Constitutive Activation of Wnt/β-Catenin Signaling Pathway in Migration-Active Melanoma Cells: Role of LEF-1 in Melanoma with Increased Metastatic Potential. Biochemical and Biophysical Research Communications. 288(1). 8–15. 51 indexed citations
4.
Hara, Masahiro, et al.. (2000). Kinesin Participates in Melanosomal Movement along Melanocyte Dendrites. Journal of Investigative Dermatology. 114(3). 438–443. 87 indexed citations
5.
Byers, H. Randolph, et al.. (2000). Role of Cytoplasmic Dynein in Melanosome Transport in Human Melanocytes. Journal of Investigative Dermatology. 114(5). 990–997. 57 indexed citations
6.
7.
Mizusawa, Noriko, et al.. (1999). CD44 variant isoform CD44v10 expression of human melanoma cell lines is upregulated by hyaluronate and correlates with migration. Melanoma Research. 9(3). 223–232. 22 indexed citations
8.
Byers, H. Randolph & Jag Bhawan. (1998). PATHOLOGIC PARAMETERS IN THE DIAGNOSIS AND PROGNOSIS OF PRIMARY CUTANEOUS MELANOMA. Hematology/Oncology Clinics of North America. 12(4). 717–735. 26 indexed citations
9.
Byers, H. Randolph, et al.. (1997). Treatment of small nevomelanocytic nevi with a Q-switched ruby laser. Journal of the American Academy of Dermatology. 36(5). 738–741. 33 indexed citations
10.
11.
Kikuchi, Kanako, Hidemi Nakagawa, Takafumi Kadono, et al.. (1996). Decreased ETbReceptor Expression in Human Metastatic Melanoma Cells. Biochemical and Biophysical Research Communications. 219(3). 734–739. 35 indexed citations
12.
Benzaquen, Laura R., Carlo Brugnara, H. Randolph Byers, Sebastiano Gattoni‐Celli, & José A. Halperin. (1995). Clotrimazole inhibits cell proliferation in vitro and in vivo. Nature Medicine. 1(6). 534–540. 142 indexed citations
13.
Vink, Jacqueline, et al.. (1994). Differential Effects of Interleukin 1-α (IL-1α) or Tumor Necrosis Factor-α (TNF-α) on Motility of Human Melanoma Cell Lines on Fibronectin. Journal of Investigative Dermatology. 102(6). 898–905. 14 indexed citations
14.
Duncan, Lyn M., et al.. (1994). Actin-binding protein expression in benign and malignant melanocytic proliferations. Human Pathology. 25(7). 709–714. 15 indexed citations
15.
Vink, Jacqueline, et al.. (1993). Role of α3β1 and α2β1 integrins in melanoma cell migration. Melanoma Research. 3(6). 435–442. 53 indexed citations
16.
Etoh, Takafumi, et al.. (1993). Role of Integrin α2β1 (VLA-2) in the Migration of Human Melanoma Cells on Laminin and Type IV Collagen. Journal of Investigative Dermatology. 100(5). 640–647. 34 indexed citations
17.
Duncan, Lyn M., Marianne Berwick, Jan A. Bruijn, et al.. (1993). Histopathologic Recognition and Grading of Dysplastic Melanocytic Nevi: An Interobserver Agreement Study. Journal of Investigative Dermatology. 100(3). S318–S321. 96 indexed citations
18.
Calorini, Lido, et al.. (1992). Expression of a transfected H-2Kb gene in B16 cells correlates with suppression of liver metastases in triple immunodeficient mice.. PubMed. 52(14). 4036–41. 9 indexed citations
19.
Chan, Bosco M. C., Paul D. Kassner, James A. Schiro, et al.. (1992). Distinct cellular functions mediated by different VLA integrin α subunit cytoplasmic domains. Cell. 68(6). 1051–1060. 272 indexed citations
20.
Byers, H. Randolph, Glenn E. White, & Keigi Fujiwara. (1984). Organization and Function of Stress Fibers in Cells in Vitro and in Situ. PubMed. 5. 83–137. 106 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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