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

John W. Kasik
Comparison fields: 5 of 73
  • Molecular Biology 200
  • Immunology 170
  • Genetics 64
  • Oncology 59
  • Cancer Research 57
Xuan-Ping Pang United States
Carol J. Mirell United States
F. Croze Canada
Takahide Mori Japan
Kang Z. Liu United States
Hiroaki Jikihara Japan
Laura Lunghi Italy
Jeffery S. Babischkin United States
Gudrun Engels Germany
Ching‐Ling C. Chen United States
Xuan-Ping Pang United States View profile →
Citations per field, relative to John W. Kasik
John W. Kasik · 1×
Citations per year, relative to John W. Kasik
John W. Kasik · 1×

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
# Work Indexed citations
1 13
2 22
3 13
4 8
5 15
6 8
7 23
8 13
9 9
10 7
11 83
12 113
13 10
14 7
15 41
16 1
17 27
18 11
19
Rhabdomyolysis and myoglobinemia in neonates.
9
20 7

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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