Michael J. Blend

1.0k citations
70 papers · 782 · h-index 15

Impact in

Papers in

Michael J. Blend

65 papers receiving 749 citations

Peers

Michael J. Blend
Comparison fields: 5 of 95
  • Radiology, Nuclear Medicine and Imaging 258
  • Pulmonary and Respiratory Medicine 208
  • Nutrition and Dietetics 88
  • Radiation 48
  • Microbiology 4
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Y Lasne France
Z. Amin United Kingdom
K. Lewin United States
J. P. Lavender United Kingdom
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Citations per year

Countries citing papers authored by Michael J. Blend

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Blend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989135
2 198965
3 200339
4 199837
5 200036
6
Using vascular structure for CT-SPECT registration in the pelvis.
199934
7 200027
8 197623
9 200422
10 199421
11
Impact of radioimmunoscintigraphy on definition of clinical target volume for radiotherapy after prostatectomy.
200421
12 199919
13
Influence of radioimmunoscintigraphy on postprostatectomy radiotherapy treatment decision making.
200416
14
Staging non-small cell carcinoma of the lung using technetium-99m-labeled monoclonal antibodies.
199015
15
Improved sarcoma imaging and reduced hepatic activity with indium-111-SCN-Bz-DTPA linked to MoAb 19-24.
198815
16 199214
17 199713
18 198613
19
Improved staging of B-cell non-Hodgkin's lymphoma patients with 99mTc-labeled LL2 monoclonal antibody fragment.
199511
20 200610

About Michael J. Blend

Michael J. Blend is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Oncology and Radiation, having authored 70 papers that have together received 782 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (18 papers), Medical Imaging and Pathology Studies (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Prostate Cancer Treatment and Research (9 papers), Medical Imaging Techniques and Applications (7 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Advanced Radiotherapy Techniques (7 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (258 citations), Pulmonary and Respiratory Medicine (208 citations), Nutrition and Dietetics (88 citations), Radiation (48 citations) and Microbiology (4 citations). Michael J. Blend has collaborated with scholars based in United States, Argentina and Japan. Frequent co-authors include Vivek Ghai, D. Vidyasagar, M Xanthou, Lucky Jain, Shoichi Shimada, Juan Carlos Quintana, Carlos Bekerman, Srinivasan Vijayakumar, Charles A. Pelizzari and Steven Pinsky. Their work appears in journals such as Neurological Research, Clinical Nuclear Medicine, British Journal of Haematology, Seminars in Surgical Oncology and Journal of Clinical Oncology.

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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