Daniel J. Gans

About

Daniel J. Gans is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel J. Gans has authored 16 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 4 papers in Statistics and Probability and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel J. Gans’s work include Computational Drug Discovery Methods (4 papers), Advanced Statistical Methods and Models (3 papers) and Statistical Methods in Clinical Trials (2 papers). Daniel J. Gans is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Advanced Statistical Methods and Models (3 papers) and Statistical Methods in Clinical Trials (2 papers). Daniel J. Gans collaborates with scholars based in United States and Canada. Daniel J. Gans's co-authors include Janet B. McGill, Lori M. Laffel, James W. McFarland, Ivan G. Otterness, Edward H. Wiseman, Samuel Z. Goldhaber, Jean‐Lucien Rouleau, Tomás Berl, Edmund J. Lewis and Marc A. Pfeffer and has published in prestigious journals such as JAMA, Technometrics and Kidney International.

In The Last Decade

Co-authorship network of co-authors of Daniel J. Gans i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Daniel J. Gans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Gans. 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 Daniel J. Gans. The network helps show where Daniel J. Gans may publish in the future.

Countries citing papers authored by Daniel J. Gans

Since Specialization

Citations

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

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.

Explore authors with similar magnitude of impact