Daniel M. Goodenberger

33 total papers · 589 total citations
16 papers, 394 citations indexed

About

Daniel M. Goodenberger is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Epidemiology. According to data from OpenAlex, Daniel M. Goodenberger has authored 16 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 4 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Daniel M. Goodenberger's work include Tracheal and airway disorders (5 papers), Vascular Anomalies and Treatments (4 papers) and Neuroendocrine Tumor Research Advances (2 papers). Daniel M. Goodenberger is often cited by papers focused on Tracheal and airway disorders (5 papers), Vascular Anomalies and Treatments (4 papers) and Neuroendocrine Tumor Research Advances (2 papers). Daniel M. Goodenberger collaborates with scholars based in United States. Daniel M. Goodenberger's co-authors include Benico Barzilai, Daniel Picus, Alan D. Waggoner, Dan Schuller, Victoria J. Fraser, Warren Strober, John J. May, Richard A. Matthay, Gary P. Naegel and James I. Couser and has published in prestigious journals such as CHEST Journal, The American Journal of Medicine and Critical Care Medicine.

In The Last Decade

Daniel M. Goodenberger

15 papers receiving 362 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel M. Goodenberger 218 124 111 52 31 16 394
Jeffrey R. Kunin 213 1.0× 87 0.7× 66 0.6× 178 3.4× 32 1.0× 17 398
Solon R. Cole 190 0.9× 78 0.6× 27 0.2× 71 1.4× 16 0.5× 17 384
William Fraimow 222 1.0× 47 0.4× 39 0.4× 167 3.2× 27 0.9× 24 399
Bruce A. Cook 72 0.3× 47 0.4× 121 1.1× 94 1.8× 81 2.6× 16 438
Jens Helby 64 0.3× 102 0.8× 44 0.4× 41 0.8× 30 1.0× 20 420
Anne Veinstein 146 0.7× 52 0.4× 65 0.6× 16 0.3× 14 0.5× 12 346
Ashok Shende 114 0.5× 60 0.5× 46 0.4× 127 2.4× 25 0.8× 25 394
Michael Newnham 198 0.9× 35 0.3× 31 0.3× 50 1.0× 68 2.2× 25 436
M. Andreu 243 1.1× 44 0.4× 64 0.6× 50 1.0× 7 0.2× 20 357
D. El Kouri 215 1.0× 44 0.4× 82 0.7× 49 0.9× 14 0.5× 23 384

Countries citing papers authored by Daniel M. Goodenberger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Goodenberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Goodenberger

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Goodenberger. A scholar is included among the top collaborators of Daniel M. Goodenberger 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 Daniel M. Goodenberger. Daniel M. Goodenberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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