David Wiese

2.4k total citations
60 papers, 1.8k citations indexed

About

David Wiese is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, David Wiese has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Oncology, 22 papers in Surgery and 16 papers in Cancer Research. Recurrent topics in David Wiese's work include Colorectal Cancer Surgical Treatments (31 papers), Colorectal Cancer Treatments and Studies (24 papers) and Colorectal and Anal Carcinomas (18 papers). David Wiese is often cited by papers focused on Colorectal Cancer Surgical Treatments (31 papers), Colorectal Cancer Treatments and Studies (24 papers) and Colorectal and Anal Carcinomas (18 papers). David Wiese collaborates with scholars based in United States, Japan and India. David Wiese's co-authors include Sukamal Saha, Anton J. Bilchik, Roderick R. Turner, Dave S.�B. Hoon, Julio Badin, Madan L. Arora, Thomas Beutler, Donald L. Morton, D L Desai and Adrian G. Dan and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Surgery and Clinical Cancer Research.

In The Last Decade

David Wiese

59 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Wiese United States 22 1.3k 880 447 318 258 60 1.8k
Katharina Biermann Netherlands 19 787 0.6× 726 0.8× 841 1.9× 288 0.9× 123 0.5× 61 1.5k
Yoshiki Kajiwara Japan 24 1.4k 1.0× 590 0.7× 457 1.0× 412 1.3× 160 0.6× 80 1.8k
Ho‐Kyung Chun South Korea 21 991 0.7× 597 0.7× 314 0.7× 219 0.7× 125 0.5× 44 1.3k
Kevin Norwood United States 22 1.3k 1.0× 779 0.9× 504 1.1× 363 1.1× 234 0.9× 38 1.8k
Léonor Benhaïm France 20 745 0.6× 677 0.8× 438 1.0× 235 0.7× 400 1.6× 71 1.7k
Ho-Kyung Chun South Korea 27 1.8k 1.3× 1.0k 1.2× 599 1.3× 383 1.2× 310 1.2× 96 2.4k
A. Crellin United Kingdom 20 1.0k 0.8× 809 0.9× 857 1.9× 147 0.5× 354 1.4× 47 1.8k
J M A Northover United Kingdom 21 1.4k 1.0× 1.2k 1.4× 422 0.9× 655 2.1× 211 0.8× 37 2.6k
Olivier Dubreuil France 15 932 0.7× 378 0.4× 498 1.1× 154 0.5× 382 1.5× 56 1.6k
Russell C. Langan United States 18 1.4k 1.0× 453 0.5× 314 0.7× 93 0.3× 239 0.9× 62 2.1k

Countries citing papers authored by David Wiese

Since Specialization
Citations

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

Fields of papers citing papers by David Wiese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Wiese

This figure shows the co-authorship network connecting the top 25 collaborators of David Wiese. A scholar is included among the top collaborators of David Wiese 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 David Wiese. David Wiese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Saha, Sukamal, et al.. (2014). The prognostic value of additional malignant lesions detected by magnetic resonance imaging versus mammography. The American Journal of Surgery. 209(2). 398–402. 4 indexed citations
3.
Saha, Sukamal, et al.. (2014). Tumor size predicts long-term survival in colon cancer: an analysis of the National Cancer Data Base. The American Journal of Surgery. 209(3). 570–574. 84 indexed citations
4.
Tamkus, Deimante, Alla Sikorskii, Kathleen A. Gallo, et al.. (2013). Endothelin-1 Enriched Tumor Phenotype Predicts Breast Cancer Recurrence. ISRN Oncology. 2013. 1–7. 10 indexed citations
5.
Wiese, David, Tuddow Thaiwong, Vilma Yuzbasiyan‐Gurkan, & Matti Kiupel. (2013). Feline mammary basal-like adenocarcinomas: a potential model for human triple-negative breast cancer (TNBC) with basal-like subtype. BMC Cancer. 13(1). 403–403. 46 indexed citations
6.
Wiese, David, et al.. (2011). Comparison of nodal positivity between SLNM vs conventional surgery in colon cancer patients with <12 and ≥12 lymph nodes harvested. The American Journal of Surgery. 202(2). 207–213. 6 indexed citations
7.
Wiese, David, et al.. (2011). Detection and prognostic impact of micrometastasis in colorectal cancer. Journal of Surgical Oncology. 103(6). 534–537. 32 indexed citations
8.
Cahill, Ronan A., A. Bembenek, Wolfgang Schneider, et al.. (2009). Sentinel Node Biopsy for the Individualization of Surgical Strategy for Cure of Early-Stage Colon Cancer. Annals of Surgical Oncology. 16(8). 2170–2180. 43 indexed citations
9.
Saha, Sukamal, et al.. (2009). A Prospective Trial Comparing 1% Lymphazurin vs 1% Methylene Blue in Sentinel Lymph Node Mapping of Gastrointestinal Tumors. Annals of Surgical Oncology. 16(8). 2224–2230. 13 indexed citations
10.
Saha, Sukamal, et al.. (2009). The number of lymph node metastases as a prognostic indicator of disease-specific survival in the era of sentinel lymph node mapping in colon cancer. Journal of Clinical Oncology. 27(15_suppl). e15000–e15000. 1 indexed citations
11.
Wiese, David, et al.. (2009). A Prospective Study of False-Positive Diagnosis of Micrometastatic Cells in the Sentinel Lymph Nodes in Colorectal Cancer. Annals of Surgical Oncology. 16(8). 2166–2169. 7 indexed citations
12.
Saha, Sukamal, Sarah Ali, David Wiese, et al.. (2008). Comparative Analysis of Bone Marrow Micrometastases with Sentinel Lymph Node Status in Early-Stage Breast Cancer. Annals of Surgical Oncology. 16(2). 276–280. 2 indexed citations
13.
Saha, Supriya K., Rajesh Sehgal, Mehul Patel, et al.. (2006). Benefits, limitations and pitfalls of sentinel lymph node (SLN) mapping (M) for colorectal carcinoma (CRCa): A multicenter trial. Journal of Clinical Oncology. 24(18_suppl). 3621–3621. 2 indexed citations
14.
Saha, Sukamal, Adrian G. Dan, Carsten T. Viehl, Markus Zuber, & David Wiese. (2005). Sentinel Lymph Node Mapping in Colon and Rectal Cancer. Cancer treatment and research. 127. 105–122. 25 indexed citations
15.
Saha, Sukamal, Anton J. Bilchik, Thomas Beutler, et al.. (2004). Comparative Analysis of Nodal Upstaging Between Colon and Rectal Cancers by Sentinel Lymph Node Mapping: A Prospective Trial. Diseases of the Colon & Rectum. 47(11). 1767–1772. 42 indexed citations
16.
Saha, Sukamal, et al.. (2004). Lymphazurin 1% versus99mTc sulfur colloid for lymphatic mapping in colorectal tumors: A comparative analysis. Annals of Surgical Oncology. 11(1). 21–26. 35 indexed citations
17.
Saha, Sukamal, Adrian G. Dan, Anton J. Bilchik, et al.. (2004). Historical review of lymphatic mapping in gastrointestinal malignancies. Annals of Surgical Oncology. 11(S3). 245S–249S. 11 indexed citations
18.
Trocha, Steven D., Dean T. Nora, Sukamal Saha, et al.. (2003). Combination Probe and Dye-Directed Lymphatic Mapping Detects Micrometastases in Early Colorectal Cancer. Journal of Gastrointestinal Surgery. 7(3). 340–346. 38 indexed citations
19.
Trocha, Steven D., et al.. (2003). Differential Expression of Thymidylate Synthase in Colorectal Tumors and Matched Lymph Nodes: Impact on Adjuvant Treatment. The American Surgeon. 69(10). 918–922. 2 indexed citations
20.
Saha, Sukamal, David Wiese, Julio Badin, et al.. (2000). Technical Details of Sentinel Lymph Node Mapping in Colorectal Cancer and Its Impact on Staging. Annals of Surgical Oncology. 7(2). 120–124. 186 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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