David Wages

944 citations
31 papers · 721 · h-index 14

Impact in

Papers in

    • Lung Cancer Research Studies 4
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer therapeutics and mechanisms 4
    • Epigenetics and DNA Methylation 4
    • Histone Deacetylase Inhibitors Research 4

David Wages

31 papers receiving 700 citations

Peers

David Wages
Comparison fields: 5 of 79
  • Biochemistry 235
  • Management of Technology and Innovation 152
  • Hematology 225
  • Critical Care and Intensive Care Medicine 41
  • Immunology 132
Replace Iris M. De Cuyper with:
Iris M. De Cuyper Netherlands
Varsha Bhakta Canada
J. N. Shanberge United States
Dianne E. van der Wal Australia
Alan Le Canada
Michael D. Burdick United States
John A. Cavins United States
Egarit Noulsri Thailand
J Martinéz United States
Beate Mayer Germany
David Wages relative to Iris M. De Cuyper Netherlands Iris M. De Cuyper's profile →
Citations per field
00.5×2.8×
Iris M. De Cuyper · 1×
Citations per year

Countries citing papers authored by David Wages

Since Specialization
Citations

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

Fields of papers citing papers by David Wages

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Wages, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Wages Line = papers co-authored together David Wages links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999108
2 200687
3 201166
4 200562
5 201458
6 200558
7 200254
8 200845
9 199945
10 200622
11 201818
12 199816
13
Coccidioides immitis presenting as a hyphal form in a ventriculoperitoneal shunt.
199516
14 200413
15 202111
16 20206
17 20215
18 20074
19 20124
20 20173

About David Wages

David Wages is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Hematology and Biochemistry, having authored 31 papers that have together received 721 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Blood transfusion and management (5 papers), Cancer therapeutics and mechanisms (4 papers), Epigenetics and DNA Methylation (4 papers), Lung Cancer Research Studies (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Biochemistry (235 citations), Management of Technology and Innovation (152 citations), Hematology (225 citations), Critical Care and Intensive Care Medicine (41 citations) and Immunology (132 citations). David Wages has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Laurence Corash, Irena Melnikova, Lily Lin, James L.M. Ferrara, Julie Hambleton, Richard J. Benjamin, John Nemunaitis, James Chih‐Hsin Yang, Donald Richards and Lindsey Wood. Their work appears in journals such as Journal of Clinical Oncology, Transfusion, Blood, Cancer and Lung Cancer.

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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