John Lewicki

9.2k total citations · 3 hit papers
94 papers, 6.9k citations indexed

About

John Lewicki is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, John Lewicki has authored 94 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 34 papers in Oncology and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in John Lewicki's work include Cancer Cells and Metastasis (19 papers), Heart Failure Treatment and Management (13 papers) and Receptor Mechanisms and Signaling (13 papers). John Lewicki is often cited by papers focused on Cancer Cells and Metastasis (19 papers), Heart Failure Treatment and Management (13 papers) and Receptor Mechanisms and Signaling (13 papers). John Lewicki collaborates with scholars based in United States, Australia and Iran. John Lewicki's co-authors include Robert M. Scarborough, Thomas Maack, Austin Gurney, Glenn McEnroe, Daniel R. Nussenzveig, Michael F. Clarke, Timothy Hoey, Dale B. Schenk, J G Porter and Xinhao Wang and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

John Lewicki

93 papers receiving 6.5k citations

Hit Papers

Physiological Role of Silent Receptors of Atrial Natriure... 1987 2026 2000 2013 1987 2007 1988 250 500 750

Peers

John Lewicki
Comparison fields: 5 of 132
  • Molecular Biology 3.6k
  • Cardiology and Cardiovascular Medicine 2.6k
  • Oncology 2.0k
  • Pulmonary and Respiratory Medicine 814
  • Cancer Research 773
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Citations per field, relative to John Lewicki
John Lewicki · 1×
Citations per year, relative to John Lewicki
John Lewicki · 1×

Countries citing papers authored by John Lewicki

Since Specialization
Citations

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

Fields of papers citing papers by John Lewicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Lewicki

This figure shows the co-authorship network connecting the top 25 collaborators of John Lewicki. A scholar is included among the top collaborators of John Lewicki 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 Lewicki. John Lewicki 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 8
2 122
3 195
4 1
5 58
6 31
7 100
8 318
9 448
10 39
11
The Prognostic Role of a Gene Signature from Tumorigenic Breast-Cancer Cells breakdown →
742
12 22
13 31
14 8
15 2
16 94
17 106
18 38
19
Cloning, sequence analysis, and processing of the rat and human atrial natriuretic peptide precursors.
20
20 11

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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