Brian Morse

1.5k citations
31 papers · 1.1k · h-index 14

Impact in

  • Neurology top 2%
    • Neuroblastoma Research and Treatments
  • Oncology top 5%
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Lung Cancer Research Studies 14
    • Pancreatic and Hepatic Oncology Research 4
    • Neuroendocrine Tumor Research Advances 18

Brian Morse

29 papers receiving 1.1k citations

Peers

Brian Morse
Comparison fields: 5 of 66
  • Neurology 451
  • Oncology 634
  • Epidemiology 622
  • Radiology, Nuclear Medicine and Imaging 294
  • Gastroenterology 64
Replace Murat Fani Bozkurt with:
Murat Fani Bozkurt Türkiye
Laméris Js Netherlands
Stephen E. McRae United States
Beatrice Cavallo Marincola Italy
Byung Hee Lee South Korea
Rob van Os Netherlands
Shudong Hu China
F. Vorbeck Austria
Alexander König Germany
Koji Takumi Japan
Brian Morse relative to Murat Fani Bozkurt Türkiye Murat Fani Bozkurt's profile →
Citations per field
00.5×1.5×1.9×
Murat Fani Bozkurt · 1×
Citations per year

Countries citing papers authored by Brian Morse

Since Specialization
Citations

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

Fields of papers citing papers by Brian Morse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Morse, 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 Brian Morse Line = papers co-authored together Brian Morse 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 2011280
2 2017233
3 2016119
4 201476
5 201647
6 201944
7 200939
8 201634
9 202132
10 201728
11 201527
12 201821
13 201220
14 200818
15 202012
16 20229
17 20208
18 20227
19 20207
20 20246

About Brian Morse

Brian Morse is a scholar working on Oncology, Epidemiology, Neurology, Pulmonary and Respiratory Medicine and Surgery, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (18 papers), Lung Cancer Research Studies (14 papers), Neuroblastoma Research and Treatments (13 papers), Pancreatic and Hepatic Oncology Research (4 papers), Abdominal Trauma and Injuries (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Neurology (451 citations), Oncology (634 citations), Epidemiology (622 citations), Radiology, Nuclear Medicine and Imaging (294 citations) and Gastroenterology (64 citations). Brian Morse has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Jonathan Strosberg, Alvin C. Silva, Amy K. Hara, Robert G. Paden, William Pavlicek, Norio Hongo, Taymeyah Al‐Toubah, Mauro Cives, Emily K. Bergsland and Eric K. Nakakura. Their work appears in journals such as Endocrine Related Cancer, ESMO Open, Pancreas, The Oncologist and Radiographics.

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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