Phillip Koeffler

754 total citations
22 papers, 599 citations indexed

About

Phillip Koeffler is a scholar working on Molecular Biology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Phillip Koeffler has authored 22 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Hematology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Phillip Koeffler's work include Acute Myeloid Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Phillip Koeffler is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Phillip Koeffler collaborates with scholars based in United States, Germany and Japan. Phillip Koeffler's co-authors include Anthony W. Norman, Richard G. Barbers, Helmut Reichel, Sven de Vos, Michael Fleischhacker, Sharon P. Wilczynski, Gen Suzuki, Makoto Akashi, Elena Elstner and Jaydutt V. Vadgama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Phillip Koeffler

22 papers receiving 580 citations

Peers

Phillip Koeffler

PFM

IMMUN

ONCOL

GENET

Mark Tsang United States

Timothy Hoops United States

Hiroyoshi Wada Japan

Christopher S. Thom United States

Giannoula Soufla Greece

Ryoko Sakai Japan

Seiji Kanayama Japan

Barbara Pietrucha Poland

Keisuke Kodama Japan

Małgorzata Kowalska Poland

Mark Tsang United States

Phillip Koeffler

351 ×1.3

61 ×0.5

PFM

197 ×1.8

IMMUN

124 ×1.3

ONCOL

117 ×1.5

GENET

Citations per year, relative to Phillip Koeffler Phillip Koeffler (= 1×) peers Mark Tsang

Countries citing papers authored by Phillip Koeffler

Since Specialization

Citations

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

Fields of papers citing papers by Phillip Koeffler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Koeffler

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

All Works

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20 of 20 papers shown

Kanojia, Deepika, Pushkar Dakle, Anand Mayakonda, et al.. (2019). Identification of somatic alterations in lipoma using whole exome sequencing. Scientific Reports. 9(1). 14370–14370. 5 indexed citations

Lin, De‐Chen, Xuan Meng, Liang Xu, et al.. (2014). Abstract 2225: Comprehensive molecular characterization of esophageal squamous cell carcinoma. Cancer Research. 74(19_Supplement). 2225–2225. 1 indexed citations

Masouleh, Behzad Kharabi, Huimin Geng, Christian Hurtz, et al.. (2014). Mechanistic rationale for targeting the unfolded protein response in pre-B acute lymphoblastic leukemia. Proceedings of the National Academy of Sciences. 111(21). E2219–28. 78 indexed citations

Lin, De‐Chen, Tong Yin, Maya Koren‐Michowitz, et al.. (2012). Adaptor Protein Lnk Binds to and Inhibits Normal and Leukemic FLT3. Blood. 120(21). 1312–1312. 1 indexed citations

Shojaee, Seyedmehdi, Maike Buchner, Huimin Geng, et al.. (2011). DUSP6-Mediated Negative Feedback to Oncogenic Tyrosine Kinase Signaling Prevents Excessive Accumulation of ROS and Enables Leukemia Cell Survival. Blood. 118(21). 1479–1479. 1 indexed citations

Wu, Yanyuan, Mónica Álvarez‐Fernández, Dennis J. Slamon, Phillip Koeffler, & Jaydutt V. Vadgama. (2010). Caspase 8 and maspin are downregulated in breast cancer cells due to CpG site promoter methylation. BMC Cancer. 10(1). 32–32. 69 indexed citations

Duy, Cihangir, Daniel Nowak, Lars Klemm, et al.. (2010). Mechanisms of Pre-B Cell Receptor-Inactivation In Acute Lymphoblastic Leukemia. Blood. 116(21). 147–147. 2 indexed citations

Okamoto, Ryoko, Tadayuki Akagi, & Phillip Koeffler. (2008). Vitamin D compounds and myelodysplastic syndrome. Leukemia & lymphoma. 49(1). 12–13. 12 indexed citations

Kawamata, Norihiko, Seishi Ogawa, Martin Zimmermann, et al.. (2007). Molecular allelokaryotyping of pediatric acute lymphoblastic leukemias by high resolution single nucleotide polymorphism oligonucleotide microarray.. Cancer Research. 67. 389–389. 4 indexed citations

10.

Weisbart, Richard H., James E. Hansen, Grace Chan, et al.. (2004). Antibody-mediated transduction of p53 selectively kills cancer cells. International Journal of Oncology. 25(6). 1867–73. 17 indexed citations

11.

Nakamaki, Tsuyoshi, Junichi Hisatake, Akihiro Yokoyama, et al.. (2003). Elevated levels of cyclin A1 and A (A2) mRNA in acute myeloid leukaemia are associated with increased survival. British Journal of Haematology. 123(1). 72–80. 10 indexed citations

12.

Tsukasaki, Kunihiro, Phillip Koeffler, & Masao Tomonaga. (2000). Human T-lymphotropic virus type 1 infection. Best Practice & Research Clinical Haematology. 13(2). 231–243. 20 indexed citations

13.

Munker, Reinhold, Phillip Koeffler, R. Haas, & W. Wilmanns. (2000). Modulation of CD95 in leukemia and lymphoma cells by retinoids.. PubMed. 5(6). 273–6. 2 indexed citations

14.

Vos, Sven de, Marcia I. Dawson, Stuart Holden, et al.. (1997). Effects of retinoid X receptor-selective ligands on profileration of prostate cancer cells. The Prostate. 32(2). 115–121. 44 indexed citations

15.

Ablashi, D. V., Louise G. Chatlynne, William Lapps, et al.. (1997). HUMAN HERPESVIRUS-8 (HHV-8). Journal of Acquired Immune Deficiency Syndromes & Human Retrovirology. 14(4). A23–A23. 4 indexed citations

16.

Vos, Sven de, Sharon P. Wilczynski, Michael Fleischhacker, & Phillip Koeffler. (1994). p53 Alterations in Uterine Leiomyosarcomas versus Leiomyomas. Gynecologic Oncology. 54(2). 205–208. 66 indexed citations

17.

Akashi, Makoto, Gray D. Shaw, Misao Hachiya, et al.. (1994). Number and location of AUUUA motifs: role in regulating transiently expressed RNAs. Blood. 83(11). 3182–3187. 81 indexed citations

18.

Reichel, Helmut, Phillip Koeffler, Richard G. Barbers, & Anthony W. Norman. (1987). Regulation of 1,25-Dihydroxyvitamin D₃Production by Cultured Alveolar Macrophages from Normal Human Donors and from Patients with Pulmonary Sarcoidosis*. The Journal of Clinical Endocrinology & Metabolism. 65(6). 1201–1209. 136 indexed citations

19.

Tobler, Andreas & Phillip Koeffler. (1987). Differentiation of Human Acute Myelogenous Leukemia Cells: Therapeutic Possibilities. Acta Haematologica. 78(1). 127–135. 5 indexed citations

20.

Billing, Ronald, et al.. (1980). Acute myelogenous leukemia heteroantisera. Clinical Immunology and Immunopathology. 16(2). 202–210. 23 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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