John W. Kasik

553 total citations
21 papers, 485 citations indexed

About

John W. Kasik is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, John W. Kasik has authored 21 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Immunology. Recurrent topics in John W. Kasik's work include Pregnancy and preeclampsia studies (3 papers), Neonatal Respiratory Health Research (3 papers) and Adenosine and Purinergic Signaling (3 papers). John W. Kasik is often cited by papers focused on Pregnancy and preeclampsia studies (3 papers), Neonatal Respiratory Health Research (3 papers) and Adenosine and Purinergic Signaling (3 papers). John W. Kasik collaborates with scholars based in United States, Hungary and Pakistan. John W. Kasik's co-authors include Keiko Ozato, K Ozato, Edward J. Rice, Yu‐Jui Yvonne Wan, Robert M. Nelson, Yiqi Wan, Ettore Appella, Peter Burke, Yasuaki Shirayoshi and M. Patricia Leuschen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

John W. Kasik

21 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John W. Kasik United States 12 200 170 64 59 57 21 485
Xuan-Ping Pang United States 16 289 1.4× 113 0.7× 99 1.5× 135 2.3× 65 1.1× 23 830
Carol J. Mirell United States 10 271 1.4× 108 0.6× 119 1.9× 60 1.0× 32 0.6× 15 630
F. Croze Canada 13 188 0.9× 101 0.6× 131 2.0× 23 0.4× 48 0.8× 18 547
Takahide Mori Japan 10 183 0.9× 140 0.8× 124 1.9× 51 0.9× 30 0.5× 16 661
Kang Z. Liu United States 10 210 1.1× 93 0.5× 53 0.8× 34 0.6× 57 1.0× 13 406
Hiroaki Jikihara Japan 15 271 1.4× 321 1.9× 130 2.0× 110 1.9× 31 0.5× 26 773
Laura Lunghi Italy 13 144 0.7× 175 1.0× 35 0.5× 34 0.6× 31 0.5× 19 592
Jeffery S. Babischkin United States 16 202 1.0× 212 1.2× 123 1.9× 44 0.7× 36 0.6× 33 610
Gudrun Engels Germany 8 294 1.5× 284 1.7× 88 1.4× 23 0.4× 55 1.0× 10 617
Ching‐Ling C. Chen United States 15 383 1.9× 74 0.4× 173 2.7× 78 1.3× 31 0.5× 18 823

Countries citing papers authored by John W. Kasik

Since Specialization
Citations

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

Fields of papers citing papers by John W. Kasik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Kasik. 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 John W. Kasik. The network helps show where John W. Kasik may publish in the future.

Co-authorship network of co-authors of John W. Kasik

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Kasik. A scholar is included among the top collaborators of John W. Kasik 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 John W. Kasik. John W. Kasik 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.
Lü, Chunxia, John W. Kasik, Dietrich A. Stephan, et al.. (2001). Grtp1, A Novel Gene Regulated by Growth Hormone. Endocrinology. 142(10). 4568–4571. 13 indexed citations
2.
Kasik, John W., Louis J. Muglia, Dietrich Stephan, & Ram K. Menon. (2000). Identification, Chromosomal Mapping, and Partial Characterization of MouseIns16:A New Member of the Insulin Family. Endocrinology. 141(1). 458–461. 22 indexed citations
3.
Kasik, John W., Chunxia Lü, & Ram K. Menon. (2000). The expanding insulin family: structural, genomic, and functional considerations. Pediatric Diabetes. 1(3). 169–177. 13 indexed citations
4.
Kasik, John W.. (2000). Identification, Chromosomal Mapping, and Partial Characterization of Mouse Ins16: A New Member of the Insulin Family. Endocrinology. 141(1). 458–461. 8 indexed citations
5.
Kasik, John W., et al.. (1997). A novel complementary deoxyribonucleic acid is abundantly and specifically expressed in the uterus during pregnancy. American Journal of Obstetrics and Gynecology. 176(2). 452–456. 15 indexed citations
6.
Rice, Edward J., et al.. (1996). There is an increase in expression of the cytotoxic T-lymphocyte antigen-2α gene during pregnancy. American Journal of Obstetrics and Gynecology. 174(5). 1605–1607. 8 indexed citations
7.
Kasik, John W. & Edward J. Rice. (1995). Selenoprotein p expression in liver, uterus and placenta during late pregnancy. Placenta. 16(1). 67–74. 23 indexed citations
8.
Kasik, John W., et al.. (1995). An increase in expression of the lipocalin 24p3 is found in mouse uterus coincident with birth. American Journal of Obstetrics and Gynecology. 173(2). 613–617. 13 indexed citations
9.
Kasik, John W., et al.. (1993). Kidney androgen-regulated protein gene is expressed in the uterus during late pregnancy. Molecular and Cellular Endocrinology. 90(2). 239–242. 9 indexed citations
10.
Kasik, John W. & Edward J. Rice. (1993). Transferrin gene expression in maternal liver, fetal liver and placenta during pregnancy in the mouse. Placenta. 14(4). 365–371. 7 indexed citations
11.
Burke, Peter, Steven Hirschfeld, Yasuaki Shirayoshi, et al.. (1989). Developmental and tissue-specific expression of nuclear proteins that bind the regulatory element of the major histocompatibility complex class I gene.. The Journal of Experimental Medicine. 169(4). 1309–1321. 83 indexed citations
12.
Bhat, N K, Kristin L. Komschlies, Shigeyoshi Fujiwara, et al.. (1989). Expression of ets genes in mouse thymocyte subsets and T cells.. The Journal of Immunology. 142(2). 672–678. 113 indexed citations
13.
Levi, Ben-Zion, John W. Kasik, Peter Burke, et al.. (1989). Neonatal induction of a nuclear protein that binds to the c-fos enhancer.. Proceedings of the National Academy of Sciences. 86(7). 2262–2266. 10 indexed citations
14.
Levi, Ben-Zion, John W. Kasik, & Keiko Ozato. (1988). c-fos antisense RNA blocks expression of c-fos gene in F9 embryonal carcinoma cells. Cell Differentiation and Development. 25. 95–101. 7 indexed citations
15.
Kasik, John W., Yiqi Wan, & K Ozato. (1987). A burst of c-fos gene expression in the mouse occurs at birth.. Molecular and Cellular Biology. 7(9). 3349–3352. 41 indexed citations
16.
Kasik, John W., et al.. (1986). Antenatal Prediction of Sex. Acta Obstetricia Et Gynecologica Scandinavica. 65(6). 659–660. 1 indexed citations
17.
Kasik, John W., et al.. (1985). Postconceptional age and gentamicin elimination half-life. The Journal of Pediatrics. 106(3). 502–505. 27 indexed citations
18.
Kasik, John W., et al.. (1985). Rhabdomyolysis and Myoglobinemia in Neonates. PEDIATRICS. 76(2). 255–258. 11 indexed citations
19.
Kasik, John W., et al.. (1985). Rhabdomyolysis and myoglobinemia in neonates.. PubMed. 76(2). 255–8. 9 indexed citations
20.
Kasik, John W., et al.. (1984). Sepsis and Meningitis Associated with Anal Dilation in a Newborn Infant. Clinical Pediatrics. 23(9). 509–510. 7 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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