Sam Wieand

5.2k total citations · 1 hit paper
24 papers, 2.2k citations indexed

About

Sam Wieand is a scholar working on Oncology, Statistics and Probability and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sam Wieand has authored 24 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 10 papers in Statistics and Probability and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sam Wieand's work include Colorectal Cancer Treatments and Studies (9 papers), Statistical Methods in Clinical Trials (8 papers) and Gastric Cancer Management and Outcomes (7 papers). Sam Wieand is often cited by papers focused on Colorectal Cancer Treatments and Studies (9 papers), Statistical Methods in Clinical Trials (8 papers) and Gastric Cancer Management and Outcomes (7 papers). Sam Wieand collaborates with scholars based in United States, Italy and Brazil. Sam Wieand's co-authors include Mitchell H. Gail, Steven Piantadosi, Jacqueline Peterson, Wishwa N. Kapoor, Gerald S. Levey, Michael Karpf, Norman Wolmark, Barry R. James, Kang Ling James and Linda H. Colangelo and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Biometrika.

In The Last Decade

Sam Wieand

24 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Prospective Evaluation and Follow-up of Patients with Syncope

1983 586 citations Wishwa N. Kapoor, Michael Karpf et al. New England Journal of Medicine profile →

Peers

Countries citing papers authored by Sam Wieand

Since Specialization

Citations

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

Fields of papers citing papers by Sam Wieand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Wieand

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The clinical significance of thymidylate synthase (TS) expression in primary colorectal cancer: An Intergroup combined analysis 2005 ·Journal of Clinical Oncology ·P. G. Johnston, A.B. Benson, Paul Catalano, (unknown), Norman Wolmark, Daniel J. Sargent, (unknown), Linda H. Colangelo, Sam Wieand, Richard M. Goldberg, Carmen J. Allegra	6
2	Disease-free survival (DFS) vs. overall survival (OS) as a primary endpoint for adjuvant colon cancer studies: Individual patient data from 12,915 patients on 15 randomized trials 2004 ·Journal of Clinical Oncology ·Daniel J. Sargent, Sam Wieand, Jacqueline Benedetti, Roberto Labianca, Daniel G. Haller, L. E. Shepherd, J. F. Seitz, Guido Francini, Armand de Gramont, Richard M. Goldberg	18
3	Disease-free survival (DFS) vs. overall survival (OS) as a primary endpoint for adjuvant colon cancer studies: Individual patient data from 12,915 patients on 15 randomized trials 2004 ·Journal of Clinical Oncology ·Daniel J. Sargent, Sam Wieand, Jacqueline Benedetti, Roberto Labianca, Daniel G. Haller, L. E. Shepherd, J. F. Seitz, Guido Francini, Armand de Gramont, Richard M. Goldberg	9
4	A phase III trial comparing oral UFT to FULV in stage II and III carcinoma of the colon: Results of NSABP Protocol C-06 2004 ·Journal of Clinical Oncology ·Norman Wolmark, Sam Wieand, Barry C. Lembersky, Linda H. Colangelo, Rebecca L. Smith, Richard Pazdur	35
5	Response to preoperative multimodality therapy predicts survival in patients with carcinoma of the rectum 2004 ·Journal of Clinical Oncology ·Mark S. Roh, Linda H. Colangelo, Sam Wieand, M. O’Connell, Nicholas J. Petrelli, Roy E. Smith, Eleftherios P. Mamounas, David M. Hyams, Norman Wolmark	48
6	A phase III trial comparing oral UFT to FULV in stage II and III carcinoma of the colon: Results of NSABP Protocol C-06 2004 ·Journal of Clinical Oncology ·Norman Wolmark, Sam Wieand, Barry C. Lembersky, Linda H. Colangelo, Rebecca L. Smith, Richard Pazdur	13
7	National Surgical Adjuvant Breast and Bowel Project trials in colon cancer 2001 ·Seminars in Oncology ·Norman Wolmark, Linda H. Colangelo, Sam Wieand	1
8	National Surgical Adjuvant Breast and Bowel Project trials in colon cancer 2001 ·Seminars in Oncology ·Norman Wolmark, Linda H. Colangelo, Sam Wieand	27
9	Analysis of goodness-of-fit for Cox regression model 1999 ·Statistics & Probability Letters ·Sin‐Ho Jung, Sam Wieand	1
10	Analysis of repeated markers used to predict progression of cancer 1998 ·Statistics in Medicine ·Birol Emir, Sam Wieand, John Q. Su, (unknown)	35
11	Analysis of repeated markers used to predict progression of cancer 1998 ·Statistics in Medicine ·Birol Emir, Sam Wieand, John Q. Su, (unknown)	1
12	A statistic for comparing two correlated markers which are prognostic for time to an event 1995 ·Statistics in Medicine ·Sin‐Ho Jung, Sam Wieand, S. Stephen	8
13	Stopping when the experimental regimen does not appear to help 1994 ·Statistics in Medicine ·Sam Wieand, Georgene Schroeder, Judith R. OʼFallon	48
14	Optimal Two-Stage Screening Designs for Survival Comparisons 1990 ·Biometrika ·Daniel J. Schaid, Sam Wieand, Terry M. Therneau	2
15	Optimal two-stage screening designs for survival comparisons 1990 ·Biometrika ·Daniel J. Schaid, Sam Wieand, Terry M. Therneau	83
16	A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data 1989 ·Biometrika ·Sam Wieand, Mitchell H. Gail, Barry R. James, Kang Ling James	279
17	A two-stage design for randomized trials with binary outcomes 1987 ·Controlled Clinical Trials ·Sam Wieand, Terry M. Therneau	21
18	Biased Estimates of Treatment Effect in Randomized Experiments with Nonlinear Regressions and Omitted Covariates 1984 ·Biometrika ·M. H. Gail, Sam Wieand, Steven Piantadosi	17
19	Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates 1984 ·Biometrika ·Mitchell H. Gail, Sam Wieand, Steven Piantadosi	454
20	A Prospective Evaluation and Follow-up of Patients with Syncope breakdown → 1983 ·New England Journal of Medicine ·Wishwa N. Kapoor, Michael Karpf, Sam Wieand, Jacqueline Peterson, Gerald S. Levey	586

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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