Mark D. Rothmann

2.7k total citations
46 papers, 1.9k citations indexed

About

Mark D. Rothmann is a scholar working on Statistics and Probability, Economics and Econometrics and Hematology. According to data from OpenAlex, Mark D. Rothmann has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 11 papers in Economics and Econometrics and 8 papers in Hematology. Recurrent topics in Mark D. Rothmann's work include Statistical Methods in Clinical Trials (21 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers) and Chronic Myeloid Leukemia Treatments (7 papers). Mark D. Rothmann is often cited by papers focused on Statistical Methods in Clinical Trials (21 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers) and Chronic Myeloid Leukemia Treatments (7 papers). Mark D. Rothmann collaborates with scholars based in United States, Switzerland and Netherlands. Mark D. Rothmann's co-authors include Richard Pazdur, Thomas R. Fleming, Gang Chen, Jogarao Gobburu, Hong Lü, Atiqur Rahman, Hsiao‐Hui Tsou, John R. Johnson, Martin H. Cohen and Ning Li and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Statistics in Medicine.

In The Last Decade

Mark D. Rothmann

40 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark D. Rothmann United States	16	508	445	443	382	373	46	1.9k
Francesco Pignatti Netherlands	28	220 0.4×	479 1.1×	854 1.9×	205 0.5×	711 1.9×	102	2.8k
R. Wittes United States	25	185 0.4×	473 1.1×	1.5k 3.3×	227 0.6×	339 0.9×	51	2.7k
Chadi Nabhan United States	20	388 0.8×	609 1.4×	505 1.1×	48 0.1×	123 0.3×	97	1.5k
MJ Ratain United States	17	471 0.9×	877 2.0×	828 1.9×	91 0.2×	387 1.0×	34	2.0k
Jiang Liu United States	16	146 0.3×	426 1.0×	446 1.0×	152 0.4×	71 0.2×	43	1.5k
Nancy A. Dawson United States	33	658 1.3×	945 2.1×	1.3k 3.0×	107 0.3×	257 0.7×	145	4.3k
Susanna Jacobus United States	24	1.5k 3.0×	1.3k 3.0×	1.2k 2.8×	202 0.5×	237 0.6×	59	2.8k
Charles L. Spurr United States	28	299 0.6×	394 0.9×	1.0k 2.3×	107 0.3×	308 0.8×	107	2.6k
John Hilton Canada	25	421 0.8×	828 1.9×	1.2k 2.8×	29 0.1×	128 0.3×	162	2.6k
Sham Mailankody United States	30	1.4k 2.8×	1.3k 2.9×	1.6k 3.7×	92 0.2×	270 0.7×	147	3.3k

Countries citing papers authored by Mark D. Rothmann

Since Specialization

Citations

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

Fields of papers citing papers by Mark D. Rothmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Rothmann. 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 Mark D. Rothmann. The network helps show where Mark D. Rothmann may publish in the future.

Co-authorship network of co-authors of Mark D. Rothmann

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Rothmann. A scholar is included among the top collaborators of Mark D. Rothmann 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 Mark D. Rothmann. Mark D. Rothmann 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

Travis, James, et al.. (2024). Bayesian Hierarchical Models for Subgroup Analysis. Pharmaceutical Statistics. 23(6). 1065–1083.

He, Jiwei, et al.. (2022). Retrieved-Dropout-Based multiple imputation for time-to-event data in cardiovascular outcome trials. Journal of Biopharmaceutical Statistics. 33(2). 234–252. 4 indexed citations

Fleming, Thomas R., Christine Garnett, Laurie S. Conklin, et al.. (2022). Innovations in Pediatric Therapeutics Development: Principles for the Use of Bridging Biomarkers in Pediatric Extrapolation. Therapeutic Innovation & Regulatory Science. 57(1). 109–120. 10 indexed citations

Ionan, Alexei, James Travis, Anup Amatya, et al.. (2022). Bayesian Methods in Human Drug and Biological Products Development in CDER and CBER. Therapeutic Innovation & Regulatory Science. 57(3). 436–444. 10 indexed citations

Gwise, Thomas, Mark D. Rothmann, Hung Hung, et al.. (2021). Statement on P-values. Statistics in Biopharmaceutical Research. 13(1). 57–58. 1 indexed citations

He, Jiwei, et al.. (2020). Resampling‐based stepwise multiple testing procedures with applications to clinical trial data. Pharmaceutical Statistics. 20(2). 297–313. 1 indexed citations

Rothmann, Mark D., Jenny J. Zhang, Laura Lu, & Thomas R. Fleming. (2012). Testing in a Prespecified Subgroup and the Intent-to-Treat Population. Drug Information Journal. 46(2). 175–179. 26 indexed citations

Deisseroth, Albert, Edvardas Kaminskas, Joseph A. Grillo, et al.. (2012). U.S. Food and Drug Administration Approval: Ruxolitinib for the Treatment of Patients with Intermediate and High-Risk Myelofibrosis. Clinical Cancer Research. 18(12). 3212–3217. 107 indexed citations

Casak, Sandra J., Steven J. Lemery, Yuan Li Shen, et al.. (2011). U.S. Food and Drug Administration Approval: Rituximab in Combination with Fludarabine and Cyclophosphamide for the Treatment of Patients with Chronic Lymphocytic Leukemia. The Oncologist. 16(1). 97–104. 32 indexed citations

10.

Rothmann, Mark D., Kallappa M. Koti, Kyung‐Yul Lee, Hong Lü, & Yuan Li Shen. (2009). Missing Data in Biologic Oncology Products. Journal of Biopharmaceutical Statistics. 19(6). 1074–1084. 2 indexed citations

11.

Giusti, Ruthann M., Anne M. Pilaro, Ruth Cordoba-Rodriguez, et al.. (2008). U.S. Food and Drug Administration Approval: Panitumumab for Epidermal Growth Factor Receptor–Expressing Metastatic Colorectal Carcinoma with Progression Following Fluoropyrimidine-, Oxaliplatin-, and Irinotecan-Containing Chemotherapy Regimens. Clinical Cancer Research. 14(5). 1296–1302. 68 indexed citations

12.

Rothmann, Mark D., Ning Li, Gang Chen, et al.. (2002). Design and analysis of non‐inferiority mortality trials in oncology. Statistics in Medicine. 22(2). 239–264. 179 indexed citations

13.

Rothmann, Mark D., Jogarao Gobburu, Gabriel J. Robbie, et al.. (2002). Approval summary: imatinib mesylate in the treatment of metastatic and/or unresectable malignant gastrointestinal stromal tumors.. PubMed. 8(10). 3034–8. 198 indexed citations

14.

Rothmann, Mark D. & Hammou El Barmi. (2001). Stochastic processes involving random deletion. Journal of Applied Probability. 38(1). 95–107.

15.

Rothmann, Mark D. & Hammou El Barmi. (2001). Stochastic processes involving random deletion. Journal of Applied Probability. 38(1). 95–107.

16.

Rothmann, Mark D. & Ralph P. Russo. (2000). Laws of Large Numbers for Observations that Change with Time. Journal of Theoretical Probability. 13(4). 1013–1025.

17.

Barmi, Hammou El & Mark D. Rothmann. (1998). Nonparametric estimation in selection biased models in the presence of estimating equations. Journal of nonparametric statistics. 9(4). 381–399. 10 indexed citations

18.

Rothmann, Mark D. & Ralph P. Russo. (1997). A law of large numbers on randomly deleted sets. The Annals of Applied Probability. 7(1). 1 indexed citations

19.

Rothmann, Mark D. & Ralph P. Russo. (1994). Strong consistency of the mean on randomly deleted sets. Journal of Theoretical Probability. 7(1). 119–128. 1 indexed citations

20.

Rothmann, Mark D. & Ralph P. Russo. (1991). Strong limiting bounds for a sequence of moving maxima. Statistics & Probability Letters. 11(5). 403–410. 4 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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