William J. Hubbard

3.6k citations
59 papers · 2.6k indexed · 1 hit paper · h-index 26
Topics
Immune Response and Inflammation (10 papers)Immunotherapy and Immune Responses (6 papers)T-cell and B-cell Immunology (6 papers)

In The Last Decade

William J. Hubbard

57 papers receiving 2.5k citations

Hit Papers

CECAL LIGATION AND PUNCTURE20052026201220192005200400600

Peers

William J. Hubbard
Comparison fields: 5 of 122
  • Immunology 826
  • Epidemiology 654
  • Molecular Biology 609
  • Surgery 320
  • Critical Care and Intensive Care Medicine 260
Replace Yuka Sumi with:
Yuka Sumi Japan
Heiko Mühl Germany
James D. Albert United States
Melanie J. Scott United States
Carol Miller‐Graziano United States
Ren-Feng Guo United States
H. R. Michie United States
Joshua A. Englert United States
Jaklien C. Leemans Netherlands
Z. Spolarics United States
William J. Hubbard relative to Yuka Sumi Japan Yuka Sumi's profile →
Citations per field
00.5×1.5×
Yuka Sumi · 1×
Citations per year

Countries citing papers authored by William J. Hubbard

Since Specialization
Citations

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

Fields of papers citing papers by William J. Hubbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William J. Hubbard

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Hubbard. A scholar is included among the top collaborators of William J. Hubbard 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 William J. Hubbard. William J. Hubbard 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
#WorkIndexed citations
1 25
2 11
3 14
4 19
5 52
6 44
7 69
8 77
9 31
10 14
11 41
12 6
13 131
14
CECAL LIGATION AND PUNCTUREbreakdown →
646
15 48
16 22
17 14
18 66
19 5
20
LOW MOLECULAR WEIGHT PROTEIN APHERESIS AND REGRESSION OF BREAST CANCER
3

About William J. Hubbard

William J. Hubbard is a scholar working on Library and Information Sciences, Immunology and Transplantation, having authored 59 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (260 citations), Immunology (826 citations) and Epidemiology (654 citations). William J. Hubbard has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Irshad H. Chaudry, Mashkoor A. Choudhry, Martin G. Schwacha, Kirby I. Bland, Loring W. Rue, Jeffrey D. Kerby, Martin K. Angele, Sebastian Pratschke, Bjoern M. Thobe and Raymond T. Damian. Their work appears in journals such as The Journal of Immunology, Diabetes and Biochemical Journal.

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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