David Macfarlane

1.2k citations
33 papers · 963 · h-index 17

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Medical Imaging Techniques and Applications
    • Radiopharmaceutical Chemistry and Applications
    • Monoclonal and Polyclonal Antibodies Research
    • Radiomics and Machine Learning in Medical Imaging

Papers in

David Macfarlane

33 papers receiving 946 citations

Peers

David Macfarlane
Comparison fields: 5 of 80
  • Immunology 317
  • Radiology, Nuclear Medicine and Imaging 297
  • Microbiology 10
  • Oncology 305
  • Internal Medicine 25
Replace Jamel Daoud with:
Jamel Daoud Tunisia
Josefin-Beate Holz Belgium
Debora Martorelli Italy
Sung‐Ja Ahn South Korea
Mark C. Burgmans Netherlands
Debjit Biswas United States
Mike Leach United Kingdom
Bin‐Yan Zhong China
Tsukasa Aihara Japan
Yoji Iwasaki Japan
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Citations per field
00.5×6.9×
Jamel Daoud · 1×
Citations per year

Countries citing papers authored by David Macfarlane

Since Specialization
Citations

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

Fields of papers citing papers by David Macfarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Macfarlane, 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 Macfarlane Line = papers co-authored together David Macfarlane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003308
2 2011106
3 199879
4
Iodine-131 anti-B1 antibody for B-cell lymphoma: an update on the Michigan Phase I experience.
199878
5 200951
6 199546
7 200233
8 199628
9 201126
10 201521
11 201820
12 201520
13 200218
14 201117
15 200617
16 200816
17 199516
18 199413
19 199310
20 19968

About David Macfarlane

David Macfarlane is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 33 papers that have together received 963 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Multiple Myeloma Research and Treatments (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Neuroblastoma Research and Treatments (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (317 citations), Radiology, Nuclear Medicine and Imaging (297 citations), Microbiology (10 citations), Oncology (305 citations) and Internal Medicine (25 citations). David Macfarlane has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Richard L. Wahl, Miki Okai, Mie Nieda, Takeo Juji, Henry Lin, Andrea Tazbirkova, R. Abraham, Kazuki Ide, Andrew J. Nicol and Travis S. Johnson. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Clinical Oncology, Clinical Cancer Research, Nuclear Medicine Communications and Radiology.

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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