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.
Peritioneal carcinomatosis in nongynecologic malignancy. A prospective study of prognostic factors
1989475 citationsDavid Z. J. Chu, Nicholas P. Lang et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Nicholas P. Lang
Since
Specialization
Citations
This map shows the geographic impact of Nicholas P. Lang'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 Nicholas P. Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas P. Lang more than expected).
Fields of papers citing papers by Nicholas P. Lang
This network shows the impact of papers produced by Nicholas P. Lang. 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 Nicholas P. Lang. The network helps show where Nicholas P. Lang may publish in the future.
Co-authorship network of co-authors of Nicholas P. Lang
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas P. Lang.
A scholar is included among the top collaborators of Nicholas P. Lang 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 Nicholas P. Lang. Nicholas P. Lang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lang, Nicholas P.. (2012). GOOGLE EARTH VS. AIR PHOTO STEREO PAIRS: WHICH IS MORE EFFECTIVE WHEN LEARNING GEOMORPHOLOGY?. 2012 GSA Annual Meeting in Charlotte.1 indexed citations
Lang, Nicholas P., et al.. (2011). An Examination of the Contact Between Apollinaris Patera and the Medusae Fossae Formation, Mars: Implications for Apollinaris' Volcanic Evolution. LPI. 1329.2 indexed citations
7.
Lang, Nicholas P., et al.. (2011). Continued Mapping of Apollinaris Mons, Mars. Lunar and Planetary Science Conference. 2361.1 indexed citations
8.
Lang, Nicholas P., et al.. (2010). Distribution of Explosive and Effusive Volcanic Deposits at Apollinaris Patera, Mars. LPI. 2072.4 indexed citations
9.
Kadlubar, Susan, Jeffrey Anderson, Carol Sweeney, et al.. (2009). Phenotypic CYP2A6 variation and the risk of pancreatic cancer.. PubMed. 10(3). 263–70.24 indexed citations
10.
Lang, Nicholas P., H. Y. McSween, L. L. Tornabene, & T. L. Dunn. (2008). Re-Examining the Relationship Between Apollinaris Patera and Gusev Basalts. Lunar and Planetary Science Conference. 1914.2 indexed citations
11.
Banks, M. E., Nicholas P. Lang, J. S. Kargel, et al.. (2008). Analysis of Sinuous Ridges in the Argyre Planitia, Mars Using HiRISE Images and MOLA Data. LPI. 2480.1 indexed citations
12.
Lang, Nicholas P.. (2007). Sinuous Ridge Formation in Southeastern Argyre Planitia, Mars. LPI. 2207.2 indexed citations
Barnes, Robert W., Nicholas P. Lang, & Mary F. Whiteside. (1989). Halstedian Technique Revisited. Annals of Surgery. 210(1). 118–121.104 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.