Jeanne Shen

5.4k citations
44 papers · 2.2k indexed · 2 hit papers · h-index 19

Jeanne Shen

42 papers receiving 2.2k citations

Hit Papers

Spatially Segregated Macrophage Populations...62202220262023202450100150

Peers

Jeanne Shen
Comparison fields: 5 of 124
  • Health Informatics 50
  • Oncology 775
  • Aging 42
  • Pathology and Forensic Medicine 430
  • Cancer Research 357
Replace Michael Allgäuer with:
Michael Allgäuer Germany
Michael Yang United States
Paul Cheng United States
Evgeny Izumchenko United States
Cleo‐Aron Weis Germany
Zaibo Li United States
Zicheng Hu United States
Michiya Nishino United States
Xinjuan Fan China
Amanda Khuong United States
Jeanne Shen relative to Michael Allgäuer Germany Michael Allgäuer's profile →
Citations per field
00.5×4.7×
Michael Allgäuer · 1×
Citations per year

Countries citing papers authored by Jeanne Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jeanne Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2
Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancerbreakdown →
202462
3 20242
4 202312
5 202315
6 202340
7 20231
8 20230
9 202215
10 202140
11 202147
12 202021
13 20202
14 201857
15 20187
16 201818
17 2013274
18 2013324
19 2008498
20 19994

About Jeanne Shen

Jeanne Shen is a scholar working on Oncology, Gastroenterology and Cancer Research, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Colorectal Cancer Screening and Detection (7 papers), Cancer Genomics and Diagnostics (7 papers), AI in cancer detection (5 papers), Genetic factors in colorectal cancer (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Gastric Cancer Management and Outcomes (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Health Informatics (50 citations), Oncology (775 citations) and Aging (42 citations). Jeanne Shen has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Michael J. Conboy, Thomas A. Rando, Irina M. Conboy, Andrew S. Brack, Daniel L. Rubin, Rikiya Yamashita, Jin Long, Teri A. Longacre, Ralph J. Damiano and Lan Peng. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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