Malcolm J. Underwood

5.2k total citations
136 papers, 3.5k citations indexed

About

Malcolm J. Underwood is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Malcolm J. Underwood has authored 136 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Surgery, 52 papers in Cardiology and Cardiovascular Medicine and 50 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Malcolm J. Underwood's work include Cardiac Valve Diseases and Treatments (22 papers), Aortic Disease and Treatment Approaches (20 papers) and Cardiac, Anesthesia and Surgical Outcomes (18 papers). Malcolm J. Underwood is often cited by papers focused on Cardiac Valve Diseases and Treatments (22 papers), Aortic Disease and Treatment Approaches (20 papers) and Cardiac, Anesthesia and Surgical Outcomes (18 papers). Malcolm J. Underwood collaborates with scholars based in Hong Kong, China and United Kingdom. Malcolm J. Underwood's co-authors include Gianni D. Angelini, Antoniοs Pitsis, Raimondo Ascione, A Lotto, Clinton Lloyd, Calvin S.H. Ng, Randolph H.L. Wong, Qin Yang, Song Wan and Guo‐Wei He and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Malcolm J. Underwood

132 papers receiving 3.4k citations

Peers

Malcolm J. Underwood
Comparison fields: 5 of 131
  • Surgery 1.5k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Pulmonary and Respiratory Medicine 887
  • Molecular Biology 566
  • Epidemiology 459
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Citations per field, relative to Malcolm J. Underwood
Malcolm J. Underwood · 1×
Citations per year, relative to Malcolm J. Underwood
Malcolm J. Underwood · 1×

Countries citing papers authored by Malcolm J. Underwood

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm J. Underwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm J. Underwood

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm J. Underwood. A scholar is included among the top collaborators of Malcolm J. Underwood 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 Malcolm J. Underwood. Malcolm J. Underwood 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 6
2 3
3 2
4 31
5 29
6 18
7 126
8 21
9 22
10 8
11 4
12 3
13 10
14 21
15 20
16 0
17 17
18 70
19 1
20 160

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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