James T. Good

2.6k total citations
32 papers, 1.9k citations indexed

About

James T. Good is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Physiology. According to data from OpenAlex, James T. Good has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 13 papers in Surgery and 12 papers in Physiology. Recurrent topics in James T. Good's work include Asthma and respiratory diseases (11 papers), Eosinophilic Esophagitis (8 papers) and Respiratory and Cough-Related Research (8 papers). James T. Good is often cited by papers focused on Asthma and respiratory diseases (11 papers), Eosinophilic Esophagitis (8 papers) and Respiratory and Cough-Related Research (8 papers). James T. Good collaborates with scholars based in United States and Poland. James T. Good's co-authors include Richard J. Martin, Donald Rollins, Steven A. Sahn, Rafeul Alam, Iram Zafar, Magdalena M. Gorska, Christina A. Christianson, Weimin Liu, Hongwei Chu and David A. Taryle and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Kidney International.

In The Last Decade

James T. Good

31 papers receiving 1.9k citations

Peers

James T. Good
Comparison fields: 5 of 107
  • Physiology 910
  • Pulmonary and Respiratory Medicine 747
  • Immunology 727
  • Surgery 575
  • Molecular Biology 222
Replace Conor M. Burke with:
Conor M. Burke United States
M. P. Carroll United Kingdom
Christian Domingo Spain
Lorenzo Corbetta Italy
Geoffrey Kurland United States
Rafał Krenke Poland
Francesco Menzella Italy
Patricia Haslam United Kingdom
G. Mastella Italy
D P Heaf United Kingdom
Conor M. Burke United States View profile →
Citations per field, relative to James T. Good
James T. Good · 1×
Citations per year, relative to James T. Good
James T. Good · 1×

Countries citing papers authored by James T. Good

Since Specialization
Citations

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

Fields of papers citing papers by James T. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James T. Good

This figure shows the co-authorship network connecting the top 25 collaborators of James T. Good. A scholar is included among the top collaborators of James T. Good 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 James T. Good. James T. Good 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 7
2 36
3 24
4 3
5 3
6 43
7 227
8 110
9 243
10 250
11 271
12 3
13 53
14 25
15 42
16 40
17 1
18 1
19 5
20 46

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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