Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
DETECTION OF COXSACKIE-B-VIRUS-SPECIFIC RNA SEQUENCES IN MYOCARDIAL BIOPSY SAMPLES FROM PATIENTS WITH MYOCARDITIS AND DILATED CARDIOMYOPATHY
Countries citing papers authored by Neil E. Bowles
Since
Specialization
Citations
This map shows the geographic impact of Neil E. Bowles'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 Neil E. Bowles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil E. Bowles more than expected).
This network shows the impact of papers produced by Neil E. Bowles. 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 Neil E. Bowles. The network helps show where Neil E. Bowles may publish in the future.
Co-authorship network of co-authors of Neil E. Bowles
This figure shows the co-authorship network connecting the top 25 collaborators of Neil E. Bowles.
A scholar is included among the top collaborators of Neil E. Bowles 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 Neil E. Bowles. Neil E. Bowles is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Greenhagen, B. T., et al.. (2019). Investigating Thermal Emission from the Epiregolith: Lunar Lessons for Applications to Airless Bodies. EPSC. 2019.1 indexed citations
6.
Ehlmann, B. L., R. L. Klima, C. L. Bennett, et al.. (2019). Lunar Trailblazer: A Pioneering SmallSat for Lunar Water and Lunar Geology. Lunar and Planetary Science Conference. 2019(2548). 1740.6 indexed citations
Hanna, K. L. Donaldson, et al.. (2015). Characterisation of Miyake-Jima Anorthite as a Lunar Analogue. LPI. 1251.
9.
Hinton, Robert B., Kim L. McBride, Steven B. Bleyl, et al.. (2015). Rationale for the Cytogenomics of Cardiovascular Malformations Consortium: A Phenotype Intensive Registry Based Approach. PMC.2 indexed citations
10.
Glotch, T. D., et al.. (2013). Plagioclase-Olivine Mixtures in a Simulated Lunar Environment. Lunar and Planetary Science Conference. 2972.1 indexed citations
Greenhagen, B. T., Ian Thomas, Neil E. Bowles, et al.. (2012). Compositional Ground Truth of Diviner Lunar Radiometer Observations. 2092.1 indexed citations
13.
Greenhagen, B. T., P. G. Lucey, M. B. Wyatt, et al.. (2010). The LRO Diviner Lunar Radiometer Compositional Investigation After One Year of Mapping. 42.1 indexed citations
14.
Greenhagen, B. T., P. G. Lucey, T. D. Glotch, et al.. (2010). Global Distribution of Lunar Silicates from the Diviner Lunar Radiometer. Lunar and Planetary Science Conference. 2382.1 indexed citations
15.
Bowles, Neil E., et al.. (2010). Using Infrared Laser Heterodyne Radiometry to Search for Methane in the Atmosphere of Mars. EGU General Assembly Conference Abstracts. 13795.1 indexed citations
16.
Irwin, P. G. J., N. A. Teanby, S. B. Calcutt, et al.. (2007). Preliminary Martian Atmospheric Water Vapour Column Abundances with Mars Climate Sounder.1 indexed citations
17.
Kass, D. M., et al.. (2007). MCS Views of the 2007 Global Dust Storm. DPS.7 indexed citations
18.
Kok, Remco de, P. G. J. Irwin, N. A. Teanby, et al.. (2005). Titan's Oxygen compound distributions and condensate characteristics from Cassini/CIRS observations. DPS.1 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.