Stephen T. Koury

1.9k total citations
31 papers, 1.5k citations indexed

About

Stephen T. Koury is a scholar working on Molecular Biology, Physiology and Hematology. According to data from OpenAlex, Stephen T. Koury has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Physiology and 10 papers in Hematology. Recurrent topics in Stephen T. Koury's work include Erythrocyte Function and Pathophysiology (10 papers), Erythropoietin and Anemia Treatment (9 papers) and Blood properties and coagulation (5 papers). Stephen T. Koury is often cited by papers focused on Erythrocyte Function and Pathophysiology (10 papers), Erythropoietin and Anemia Treatment (9 papers) and Blood properties and coagulation (5 papers). Stephen T. Koury collaborates with scholars based in United States, Switzerland and Germany. Stephen T. Koury's co-authors include Mark J. Koury, Maurice C. Bondurant, Gregg L. Semenza, Stylianos E. Antonarakis, J D Gearhart, Prapaporn Kopsombut, Alan D. Glick, K Sawada, Curt I. Civin and Chunhua Dai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Blood.

In The Last Decade

Stephen T. Koury

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen T. Koury United States	20	643	544	518	268	188	31	1.5k
Hitoshi Kanno Japan	24	528 0.8×	818 1.5×	383 0.7×	315 1.2×	96 0.5×	131	1.5k
Johan Flygare Sweden	22	1.3k 2.1×	456 0.8×	284 0.5×	231 0.9×	366 1.9×	50	1.9k
Raymond Liang United States	20	937 1.5×	263 0.5×	354 0.7×	275 1.0×	229 1.2×	50	1.8k
Yuka Nagata Japan	21	702 1.1×	194 0.4×	460 0.9×	203 0.8×	120 0.6×	48	1.6k
Vladimír Divoký Czechia	22	678 1.1×	218 0.4×	755 1.5×	657 2.5×	183 1.0×	78	1.6k
Sioḃán Keel United States	18	558 0.9×	277 0.5×	596 1.2×	358 1.3×	73 0.4×	53	1.3k
Ruihong Wang United States	16	838 1.3×	304 0.6×	837 1.6×	711 2.7×	184 1.0×	29	2.1k
Tsutomu Toki Japan	21	1.2k 1.9×	122 0.2×	537 1.0×	272 1.0×	202 1.1×	66	1.8k
Tohru Ikuta United States	20	680 1.1×	274 0.5×	542 1.0×	789 2.9×	52 0.3×	48	1.6k
R. Scott Pearsall United States	25	1.4k 2.1×	296 0.5×	487 0.9×	558 2.1×	180 1.0×	62	2.4k

Countries citing papers authored by Stephen T. Koury

Since Specialization

Citations

This map shows the geographic impact of Stephen T. Koury'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 Stephen T. Koury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen T. Koury more than expected).

Fields of papers citing papers by Stephen T. Koury

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen T. Koury. 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 Stephen T. Koury. The network helps show where Stephen T. Koury may publish in the future.

Co-authorship network of co-authors of Stephen T. Koury

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen T. Koury. A scholar is included among the top collaborators of Stephen T. Koury 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 Stephen T. Koury. Stephen T. Koury 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

Koury, Stephen T., et al.. (2021). Gene Annotation in High Schools: Successful Student Pipeline and Teacher Professional Development in Bioscience Using GENI-ACT. Frontiers in Microbiology. 11. 578747–578747. 1 indexed citations

Karacosta, Loukia Georgiou, John C. Fisk, Swetha Tati, et al.. (2018). Preclinical Analysis of JAA-F11, a Specific Anti–Thomsen-Friedenreich Antibody via Immunohistochemistry and In Vivo Imaging. Translational Oncology. 11(2). 450–466. 13 indexed citations

Koury, Mark J., Stephen T. Koury, Maurice C. Bondurant, & Stanley E. Gräber. (2015). Correlation of the Molecular and Anatomical Aspects of Renal Erythropoietin Production1. Contributions to nephrology. 76. 24–32. 1 indexed citations

Yadav, Arti, et al.. (2014). Preclinical Studies with JAA-F11 Anti-Thomsen-Friedenreich Monoclonal Antibody for Human Breast Cancer. Future Oncology. 10(3). 385–399. 22 indexed citations

Masso‐Welch, Patricia A., et al.. (2012). Folate exacerbates the effects of ethanol on peripubertal mouse mammary gland development. Alcohol. 46(3). 285–292. 7 indexed citations

Koury, Stephen T., et al.. (2007). Differential gene expression during terminal erythroid differentiation. Genomics. 90(5). 574–582. 8 indexed citations

Yan, Jun, et al.. (2007). Tumor immunolocalization using 124I-iodine-labeled JAA-F11 antibody to Thomsen–Friedenreich alpha-linked antigen. Applied Radiation and Isotopes. 66(3). 278–287. 24 indexed citations

Gosselin, Luc E., Jacqueline Williams, Melissa A. Deering, et al.. (2004). Localization and early time course of TGF‐β1 mRNA expression in dystrophic muscle. Muscle & Nerve. 30(5). 645–653. 104 indexed citations

Molinaro, Ross J., Joel M. Bernstein, & Stephen T. Koury. (2003). Localization and Quantitation of Eotaxin mRNA in Human Nasal Polyps. Immunological Investigations. 32(3). 143–154. 8 indexed citations

10.

Koury, Stephen T., et al.. (2002). The effect of proteasome inhibitors on mammalian erythroid terminal differentiation. Experimental Hematology. 30(7). 634–639. 22 indexed citations

11.

Koury, Mark J., Donald W. Horne, Zoe Ann Brown, et al.. (1997). Apoptosis of Late-Stage Erythroblasts in Megaloblastic Anemia: Association With DNA Damage and Macrocyte Production. Blood. 89(12). 4617–4623. 78 indexed citations

12.

Fisher, James W., et al.. (1996). Erythropoietin production by interstitial cells of hypoxic monkey kidneys. British Journal of Haematology. 95(1). 27–32. 65 indexed citations

13.

Eckardt, Kristin, et al.. (1995). OXYGEN-DEPENDENT EXPRESSION OF ERYTHROPOIETIN MESSENGER-RNA IN RAT KIDNEYS. Kidney International. 47(2). 694–694. 1 indexed citations

14.

Katsuoka, Yoji, et al.. (1994). Constitutive Secretion of Erythropoietin by Human Renal Adenocarcinoma Cells in Vivo and in Vitro. Experimental Cell Research. 215(2). 249–256. 6 indexed citations

15.

Eckardt, Kai‐Uwe, Stephen T. Koury, Chorh Chuan Tan, et al.. (1993). Distribution of erythropoietin producing cells in rat kidneys during hypoxic hypoxia. Kidney International. 43(4). 815–823. 78 indexed citations

16.

Schuster, S. J., et al.. (1992). Cellular sites of extrarenal and renal erythropoietin production in anaemic rats. British Journal of Haematology. 81(2). 153–159. 86 indexed citations

17.

Sawada, K, Sanford B. Krantz, Chunhua Dai, et al.. (1990). Purification of human blood burst‐forming units‐erythroid and demonstration of the evolution of erythropoietin receptors. Journal of Cellular Physiology. 142(2). 219–230. 183 indexed citations

18.

Koury, Stephen T., Mark J. Koury, & Maurice C. Bondurant. (1988). Morphological changes in erythroblasts during erythropoietin-induced terminal differentiation in vitro.. PubMed. 16(9). 758–63. 43 indexed citations

19.

Koury, Stephen T., Samuel S. Bowser, & S. M. McGEE-RUSSELL. (1985). Ultrastructural changes during reticulopod withdrawal in the foraminiferan protozoanAllogromia sp., strain NF. PROTOPLASMA. 129(2-3). 149–156. 20 indexed citations

20.

Bowser, Samuel S., Stephen T. Koury, & S. M. McGEE-RUSSELL. (1981). Feeding and Digestion in Allogromia (Foraminifera). Proceedings annual meeting Electron Microscopy Society of America. 39. 620–621. 2 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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