Walter T. Goodale

2.7k total citations
22 papers, 1.1k citations indexed

About

Walter T. Goodale is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Walter T. Goodale has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Walter T. Goodale's work include Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (6 papers) and Pulmonary Hypertension Research and Treatments (4 papers). Walter T. Goodale is often cited by papers focused on Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (6 papers) and Pulmonary Hypertension Research and Treatments (4 papers). Walter T. Goodale collaborates with scholars based in United States and Tunisia. Walter T. Goodale's co-authors include Donald B. Hackel, Florence W. Haynes, C.Glenn Sawyer, R Gorlin, L Dexter, Jerome Kleinerman, James L. Whittenberger, James Dow, Alexander S. Nadas and Robert E. Olson and has published in prestigious journals such as New England Journal of Medicine, Circulation and Circulation Research.

In The Last Decade

Walter T. Goodale

21 papers receiving 873 citations

Peers

Walter T. Goodale
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 635
  • Pulmonary and Respiratory Medicine 304
  • Surgery 191
  • Radiology, Nuclear Medicine and Imaging 152
  • Epidemiology 139
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Citations per field, relative to Walter T. Goodale
Walter T. Goodale · 1×
Citations per year, relative to Walter T. Goodale
Walter T. Goodale · 1×

Countries citing papers authored by Walter T. Goodale

Since Specialization
Citations

This map shows the geographic impact of Walter T. Goodale'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 Walter T. Goodale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter T. Goodale more than expected).

Fields of papers citing papers by Walter T. Goodale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter T. Goodale. 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 Walter T. Goodale. The network helps show where Walter T. Goodale may publish in the future.

Co-authorship network of co-authors of Walter T. Goodale

This figure shows the co-authorship network connecting the top 25 collaborators of Walter T. Goodale. A scholar is included among the top collaborators of Walter T. Goodale 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 Walter T. Goodale. Walter T. Goodale 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 22
2
Menorrhagia due to chronic iron deficiency.
5
3 55
4 5
5 0
6 11
7 38
8 69
9 61
10 32
11 28
12 11
13 73
14 70
15 42
16 39
17 56
18 101
19 141
20 189

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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