Anne M. Macgregor‐Das

782 total citations
11 papers, 494 citations indexed

About

Anne M. Macgregor‐Das is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Anne M. Macgregor‐Das has authored 11 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 8 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Anne M. Macgregor‐Das's work include Pancreatic and Hepatic Oncology Research (11 papers), Cancer Genomics and Diagnostics (5 papers) and Epigenetics and DNA Methylation (4 papers). Anne M. Macgregor‐Das is often cited by papers focused on Pancreatic and Hepatic Oncology Research (11 papers), Cancer Genomics and Diagnostics (5 papers) and Epigenetics and DNA Methylation (4 papers). Anne M. Macgregor‐Das collaborates with scholars based in United States, South Korea and Japan. Anne M. Macgregor‐Das's co-authors include Christine A. Iacobuzio–Donahue, Ralph H. Hruban, Alison P. Klein, Michael Goggins, Tyler Saunders, Yi Zhong, Daniel A. Laheru, Richard A. Morgan, Siân Jones and Christopher L. Wolfgang and has published in prestigious journals such as Clinical Cancer Research, International Journal of Cancer and The Journal of Pathology.

In The Last Decade

Anne M. Macgregor‐Das

10 papers receiving 489 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anne M. Macgregor‐Das United States 10 403 202 196 115 63 11 494
Anke Van den broeck Belgium 6 285 0.7× 233 1.2× 128 0.7× 63 0.5× 46 0.7× 9 433
Takuya Egami Japan 10 247 0.6× 192 1.0× 82 0.4× 80 0.7× 38 0.6× 26 403
Cynthia Waasdorp Netherlands 10 283 0.7× 143 0.7× 100 0.5× 80 0.7× 115 1.8× 18 452
Chunyi Shen China 12 232 0.6× 263 1.3× 149 0.8× 46 0.4× 91 1.4× 17 533
Shineng Zhang China 12 204 0.5× 365 1.8× 276 1.4× 39 0.3× 55 0.9× 29 520
Julia Burkert United Kingdom 6 196 0.5× 197 1.0× 76 0.4× 69 0.6× 47 0.7× 11 354
Susanne Sprung Austria 12 221 0.5× 195 1.0× 132 0.7× 72 0.6× 51 0.8× 30 456
Evan Gomes-Giacoia United States 8 128 0.3× 190 0.9× 138 0.7× 135 1.2× 53 0.8× 9 424
Christian Vay Germany 9 314 0.8× 205 1.0× 202 1.0× 62 0.5× 87 1.4× 14 468
Chanthirika Ragulan United Kingdom 5 327 0.8× 134 0.7× 90 0.5× 40 0.3× 31 0.5× 11 414

Countries citing papers authored by Anne M. Macgregor‐Das

Since Specialization
Citations

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

Fields of papers citing papers by Anne M. Macgregor‐Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne M. Macgregor‐Das. 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 Anne M. Macgregor‐Das. The network helps show where Anne M. Macgregor‐Das may publish in the future.

Co-authorship network of co-authors of Anne M. Macgregor‐Das

This figure shows the co-authorship network connecting the top 25 collaborators of Anne M. Macgregor‐Das. A scholar is included among the top collaborators of Anne M. Macgregor‐Das based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anne M. Macgregor‐Das. Anne M. Macgregor‐Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Macgregor‐Das, Anne M., Masataka Hayashi, Takeichi Yoshida, et al.. (2025). Personalizing CA125 Levels Using Tumor Marker Variants: A Case–Control Analysis of Diagnostic Performance for Pancreatic Cancer. Cancer Epidemiology Biomarkers & Prevention. 34(12). 2277–2284.
2.
Dbouk, Mohamad, Toshiya Abe, Anne M. Macgregor‐Das, et al.. (2023). Diagnostic Performance of a Tumor Marker Gene Test to Personalize Serum CA19–9 Reference Ranges. Clinical Cancer Research. 29(20). 4178–4185. 16 indexed citations
3.
Fujikura, Kohei, Michael C. Haffner, María A. Trujillo, et al.. (2021). Downregulation of 5‐hydroxymethylcytosine is an early event in pancreatic tumorigenesis. The Journal of Pathology. 254(3). 279–288. 12 indexed citations
4.
Kawamoto, Makoto, Shiro Kohi, Toshiya Abe, et al.. (2021). Endoplasmic stress‐inducing variants in CPB1 and CPA1 and risk of pancreatic cancer: A case‐control study and meta‐analysis. International Journal of Cancer. 150(7). 1123–1133. 15 indexed citations
5.
Kohi, Shiro, Anne M. Macgregor‐Das, Mohamad Dbouk, et al.. (2020). Alterations in the Duodenal Fluid Microbiome of Patients With Pancreatic Cancer. Clinical Gastroenterology and Hepatology. 20(2). e196–e227. 73 indexed citations
6.
Huang, Bo, María A. Trujillo, Kohei Fujikura, et al.. (2020). Molecular characterization of organoids derived from pancreatic intraductal papillary mucinous neoplasms. The Journal of Pathology. 252(3). 252–262. 34 indexed citations
7.
Abe, Toshiya, Shiro Kohi, Ki Byung Song, et al.. (2019). Gene Variants That Affect Levels of Circulating Tumor Markers Increase Identification of Patients With Pancreatic Cancer. Clinical Gastroenterology and Hepatology. 18(5). 1161–1169.e5. 38 indexed citations
8.
Macgregor‐Das, Anne M., Koji Shindo, Haeryoung Kim, et al.. (2017). IL2RG, identified as overexpressed by RNA-seq profiling of pancreatic intraepithelial neoplasia, mediates pancreatic cancer growth. Oncotarget. 8(48). 83370–83383. 15 indexed citations
9.
Zhong, Yi, Anne M. Macgregor‐Das, Tyler Saunders, et al.. (2016). Mutant p53 Together with TGFβ Signaling Influence Organ-Specific Hematogenous Colonization Patterns of Pancreatic Cancer. Clinical Cancer Research. 23(6). 1607–1620. 30 indexed citations
10.
Yachida, Shinichi, Catherine M. White, Yoshiki Naito, et al.. (2012). Clinical Significance of the Genetic Landscape of Pancreatic Cancer and Implications for Identification of Potential Long-term Survivors. Clinical Cancer Research. 18(22). 6339–6347. 199 indexed citations
11.
Macgregor‐Das, Anne M. & Christine A. Iacobuzio–Donahue. (2012). Molecular pathways in pancreatic carcinogenesis. Journal of Surgical Oncology. 107(1). 8–14. 62 indexed citations

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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