MacDonald Wood

921 total citations
25 papers, 406 citations indexed

About

MacDonald Wood is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, MacDonald Wood has authored 25 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Pulmonary and Respiratory Medicine and 3 papers in Neurology. Recurrent topics in MacDonald Wood's work include Vascular Procedures and Complications (3 papers), Viral-associated cancers and disorders (3 papers) and Parvovirus B19 Infection Studies (2 papers). MacDonald Wood is often cited by papers focused on Vascular Procedures and Complications (3 papers), Viral-associated cancers and disorders (3 papers) and Parvovirus B19 Infection Studies (2 papers). MacDonald Wood collaborates with scholars based in United States, United Kingdom and Nepal. MacDonald Wood's co-authors include Alan B. Rickinson, Q. Y. Yao, Martin Rowe, John M. Johnson, W. L. Marsh, M. L. Beck, Peter J. Brown, Concepción de la Cámara, Victor J. Zannis and David Childers and has published in prestigious journals such as International Journal of Cancer, The American Journal of Surgery and Transfusion.

In The Last Decade

MacDonald Wood

25 papers receiving 361 citations

Peers

MacDonald Wood
Comparison fields: 5 of 75
  • Oncology 178
  • Epidemiology 117
  • Surgery 101
  • Infectious Diseases 100
  • Pulmonary and Respiratory Medicine 48
Replace J Paris with:
J Paris France
Albin Schwarz Switzerland
M R Costanzo United States
G Russo United States
J Crouzet France
E Shaharabani Israel
Michio Koike Japan
J Barbier France
SJ Gallacher United Kingdom
Jeremy Wiseman Australia
J Paris France View profile →
Citations per field, relative to MacDonald Wood
MacDonald Wood · 1×
Citations per year, relative to MacDonald Wood
MacDonald Wood · 1×

Countries citing papers authored by MacDonald Wood

Since Specialization
Citations

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

Fields of papers citing papers by MacDonald Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by MacDonald Wood. 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 MacDonald Wood. The network helps show where MacDonald Wood may publish in the future.

Co-authorship network of co-authors of MacDonald Wood

This figure shows the co-authorship network connecting the top 25 collaborators of MacDonald Wood. A scholar is included among the top collaborators of MacDonald Wood 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 MacDonald Wood. MacDonald Wood 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 1
2 41
3 143
4 27
5 6
6 15
7 13
8 12
9 15
10 11
11 27
12 28
13 4
14 2
15 7
16 3
17 2
18 2
19 5
20 12

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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