C. William Schwab

4.9k total citations
97 papers, 3.0k citations indexed

About

C. William Schwab is a scholar working on Emergency Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, C. William Schwab has authored 97 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Emergency Medicine, 51 papers in Surgery and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in C. William Schwab's work include Trauma and Emergency Care Studies (44 papers), Trauma Management and Diagnosis (20 papers) and Abdominal Trauma and Injuries (18 papers). C. William Schwab is often cited by papers focused on Trauma and Emergency Care Studies (44 papers), Trauma Management and Diagnosis (20 papers) and Abdominal Trauma and Injuries (18 papers). C. William Schwab collaborates with scholars based in United States, New Zealand and Japan. C. William Schwab's co-authors include Patrick M. Reilly, Donald R. Kauder, Steven E. Ross, Michael B. Shapiro, Ian Civil, Vicente H. Gracias, Michael F. Rotondo, John P. Pryor, Christopher T. Born and William G. DeLong and has published in prestigious journals such as Annals of Surgery, CHEST Journal and Critical Care Medicine.

In The Last Decade

C. William Schwab

91 papers receiving 2.8k citations

Peers

C. William Schwab
Comparison fields: 5 of 109
  • Surgery 1.8k
  • Emergency Medicine 1.3k
  • Pulmonary and Respiratory Medicine 666
  • Epidemiology 333
  • Critical Care and Intensive Care Medicine 328
Replace Dennis W. Vane with:
Dennis W. Vane United States
David H. Wisner United States
Steven E. Ross United States
Krista L. Kaups United States
Michael D. Pasquale United States
Ajai K. Malhotra United States
Robert F. Lavery United States
Kennith H. Sartorelli United States
Paul A. Taheri United States
Donald R. Kauder United States
Dennis W. Vane United States View profile →
Citations per field, relative to C. William Schwab
C. William Schwab · 1×
Citations per year, relative to C. William Schwab
C. William Schwab · 1×

Countries citing papers authored by C. William Schwab

Since Specialization
Citations

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

Fields of papers citing papers by C. William Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. William Schwab. 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 C. William Schwab. The network helps show where C. William Schwab may publish in the future.

Co-authorship network of co-authors of C. William Schwab

This figure shows the co-authorship network connecting the top 25 collaborators of C. William Schwab. A scholar is included among the top collaborators of C. William Schwab 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 C. William Schwab. C. William Schwab 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 2
2 21
3 7
4 13
5 5
6 22
7 52
8 25
9 2
10 46
11 41
12 3
13 11
14 14
15 36
16 105
17 1
18 65
19 30
20 3

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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