F. J. Hendler

1.2k total citations
20 papers, 975 citations indexed

About

F. J. Hendler is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, F. J. Hendler has authored 20 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in F. J. Hendler's work include RNA modifications and cancer (4 papers), HER2/EGFR in Cancer Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). F. J. Hendler is often cited by papers focused on RNA modifications and cancer (4 papers), HER2/EGFR in Cancer Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). F. J. Hendler collaborates with scholars based in United States and United Kingdom. F. J. Hendler's co-authors include Brad Ozanne, B.A. Gusterson, Douglas M. Burns, C. Sue Richards, Alice Shum-Siu, Charles W. Young, David A. Karnofsky, Murray Rabinowitz, V. Patel and T. Jeffery Wieman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

F. J. Hendler

20 papers receiving 914 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. J. Hendler United States 13 520 438 174 155 107 20 975
Edward N. Hughes United States 15 681 1.3× 326 0.7× 209 1.2× 206 1.3× 229 2.1× 23 1.2k
Leo J. Williams United States 11 295 0.6× 316 0.7× 125 0.7× 100 0.6× 125 1.2× 12 845
A M Schwartz United States 12 486 0.9× 277 0.6× 60 0.3× 113 0.7× 129 1.2× 21 947
B Endlich United States 12 642 1.2× 262 0.6× 95 0.5× 92 0.6× 122 1.1× 18 887
Pengchin Chen United States 12 640 1.2× 235 0.5× 101 0.6× 187 1.2× 221 2.1× 15 1.1k
Chadd E. Nesbit United States 8 889 1.7× 367 0.8× 82 0.5× 89 0.6× 196 1.8× 15 1.2k
Michaela Herzig Austria 10 816 1.6× 457 1.0× 82 0.5× 89 0.6× 148 1.4× 10 1.2k
Y Tsujimoto United States 7 944 1.8× 400 0.9× 103 0.6× 74 0.5× 127 1.2× 8 1.5k
B E Elliott Canada 17 571 1.1× 351 0.8× 133 0.8× 58 0.4× 187 1.7× 29 1.2k
Victoria Rothwell United States 13 643 1.2× 442 1.0× 267 1.5× 46 0.3× 94 0.9× 15 1.1k

Countries citing papers authored by F. J. Hendler

Since Specialization
Citations

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

Fields of papers citing papers by F. J. Hendler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. J. Hendler

This figure shows the co-authorship network connecting the top 25 collaborators of F. J. Hendler. A scholar is included among the top collaborators of F. J. Hendler 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 F. J. Hendler. F. J. Hendler 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.
Laber, Damian A., Vivek R. Sharma, R. V. Larocca, et al.. (2005). Phase II study of cyclophosphamide, etoposide and estramustine in patients with androgen independent prostate cancer. Journal of Clinical Oncology. 23(16_suppl). 4757–4757. 1 indexed citations
2.
Laber, Damian A., et al.. (2005). Update on the first phase I study of AGRO100 in advanced cancer. Journal of Clinical Oncology. 23(16_suppl). 3064–3064. 32 indexed citations
3.
Laber, Damian A., et al.. (2004). A phase I study of AGRO100 in advanced cancer. Journal of Clinical Oncology. 22(14_suppl). 3112–3112. 15 indexed citations
4.
Laber, Damian A., et al.. (2004). A phase I study of AGRO100 in advanced cancer. Journal of Clinical Oncology. 22(14_suppl). 3112–3112. 5 indexed citations
5.
Stanton, Peter, Milan Nikolić, Kirsten G. Edington, et al.. (1994). Epidermal growth factor receptor expression by human squamous cell carcinomas of the head and neck, cell lines and xenografts. British Journal of Cancer. 70(3). 427–433. 68 indexed citations
6.
Patel, V., et al.. (1994). Detection of epidermal growth factor receptor mRNA in tissue sections from biopsy specimens using in situ polymerase chain reaction.. PubMed Central. 144(1). 7–14. 53 indexed citations
7.
Yuan, Bo, et al.. (1994). Harvey ras (H-ras) point mutations are induced by 4-nitroquinoline-1-oxide in murine oral squamous epithelia, while squamous cell carcinomas and loss of heterozygosity occur without additional exposure.. PubMed. 54(20). 5310–7. 36 indexed citations
8.
Shum-Siu, Alice, et al.. (1993). Variation in cellular EGF receptor mRNA expression demonstrated byin situreverse transcriptase polymerase chain reaction. Nucleic Acids Research. 21(14). 3159–3166. 41 indexed citations
9.
Djulbegović, Benjamin, F. J. Hendler, Jeremy Hamm, Terence J. Hadley, & Thomas Woodcock. (1992). Residual mediastinal mass after treatment of Hodgkin's disease: A decision analysis. Medical Hypotheses. 38(2). 166–175. 3 indexed citations
10.
Hendler, F. J., et al.. (1989). The use of egf receptors and an alveolar differentiation marker to predict a poor survival in lung cancer. 106. 4 indexed citations
11.
Ozanne, Brad, C. Sue Richards, F. J. Hendler, Douglas M. Burns, & B.A. Gusterson. (1986). Over‐expression of the EGF receptor is a hallmark of squamous cell carcinomas. The Journal of Pathology. 149(1). 9–14. 275 indexed citations
12.
Hendler, F. J. & Brad Ozanne. (1984). Human squamous cell lung cancers express increased epidermal growth factor receptors.. Journal of Clinical Investigation. 74(2). 647–651. 326 indexed citations
13.
Hendler, F. J., Dongcai Yuan, & Ellen S. Vitetta. (1981). Characterization of a monoclonal antibody to human breast cancer cells.. PubMed. 94. 217–24. 1 indexed citations
14.
Hendler, F. J., et al.. (1976). Characterization and translation of yeast mitochondrial RNA. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
15.
Rabinowitz, Murray, Smilja Jakovcic, Martin Neuenschwander, et al.. (1976). Transcription and Organization of Yeast Mitochondrial DNA. 12 indexed citations
16.
Hendler, F. J., et al.. (1975). Yeast mitochondrial RNA contains a short polyadenylic acid segment. Nature. 258(5533). 357–359. 26 indexed citations
17.
Padmanaban, G., et al.. (1975). Translation of RNA that contains polyadenylate from yeast mitochondria in an Escherichia coli ribosomal system.. Proceedings of the National Academy of Sciences. 72(11). 4293–4297. 23 indexed citations
18.
Heinemann, M., et al.. (1973). Morphogenetic disturbances from timed inhibitions of protein synthesis in Fundulus. Development. 29(2). 363–382. 13 indexed citations
19.
Young, Charles W., et al.. (1970). Studies on 2-piperidino-8-mercaptoadenine, a potent inhibitor of cleavage in echinoderm embryos. Experimental Cell Research. 60(1). 45–53. 3 indexed citations
20.
Young, Charles W., F. J. Hendler, & David A. Karnofsky. (1969). Synthesis of protein for DNA replication and cleavage events in the sand dollar embryo. Experimental Cell Research. 58(1). 15–26. 36 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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