Kallappa M. Koti

581 total citations
14 papers, 292 citations indexed

About

Kallappa M. Koti is a scholar working on Statistics and Probability, Management Science and Operations Research and Oncology. According to data from OpenAlex, Kallappa M. Koti has authored 14 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 4 papers in Management Science and Operations Research and 3 papers in Oncology. Recurrent topics in Kallappa M. Koti's work include Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (5 papers) and Colorectal Cancer Treatments and Studies (3 papers). Kallappa M. Koti is often cited by papers focused on Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (5 papers) and Colorectal Cancer Treatments and Studies (3 papers). Kallappa M. Koti collaborates with scholars based in United States. Kallappa M. Koti's co-authors include Mark D. Rothmann, Richard Pazdur, William M. Adams, Janice Brown, Julie Bullock, Angelica Dorantes, Thomas M. Herndon, Bahru Habtemariam, Albert Deisseroth and Robert C. Kane and has published in prestigious journals such as Clinical Cancer Research, Journal of Biopharmaceutical Statistics and Communication in Statistics- Theory and Methods.

In The Last Decade

Kallappa M. Koti

12 papers receiving 287 citations

Peers

Countries citing papers authored by Kallappa M. Koti

Since Specialization

Citations

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

Fields of papers citing papers by Kallappa M. Koti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kallappa M. Koti. 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 Kallappa M. Koti. The network helps show where Kallappa M. Koti may publish in the future.

Co-authorship network of co-authors of Kallappa M. Koti

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	A Simple Mantel–Haenszel Type Test for Noninferiority 2020 ·Statistics in Biopharmaceutical Research ·Kallappa M. Koti	1
2	New Tests for Assessing Non-Inferiority and Equivalence from Survival Data 2013 ·Open Journal of Statistics ·Kallappa M. Koti	2
3	Evaluating and Adjusting for Premature Censoring of Progression-Free Survival 2013 ·Journal of Biopharmaceutical Statistics ·Mark D. Rothmann, Kallappa M. Koti, Kyung‐Yul Lee, H. Lu, Yuan Li Shen, Jenny J. Zhang, Mei Jin, Hao Zhou	3
4	U.S. Food and Drug Administration Approval: Carfilzomib for the Treatment of Multiple Myeloma 2013 ·Clinical Cancer Research ·Thomas M. Herndon, Albert Deisseroth, Edvardas Kaminskas, Robert C. Kane, Kallappa M. Koti, Mark D. Rothmann, Bahru Habtemariam, Julie Bullock, Jeffrey D. Bray, Jessica J. Hawes, Todd R. Palmby, (unknown), William M. Adams, (unknown), Janice Brown, Angelica Dorantes, Rajeshwari Sridhara, Ann T. Farrell, Richard Pazdur	198
5	Exponential Failure-Time Mixture Model Approach for Validating KRAS as a Predictive Biomarker for Panitumumab Monotherapy in the Treatment of Metastatic Colorectal Cancer 2011 ·Statistics in Biopharmaceutical Research ·Kallappa M. Koti	1
6	Missing Data in Biologic Oncology Products 2009 ·Journal of Biopharmaceutical Statistics ·Mark D. Rothmann, Kallappa M. Koti, Kyung‐Yul Lee, Hong Lü, Yuan Li Shen	2
7	Weibull Failure-Time Mixture Models for Evaluating Efficacy in the Presence of a Biomarker 2009 ·Drug Information Journal ·Kallappa M. Koti	1
8	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 2008 ·Clinical Cancer Research ·Ruthann M. Giusti, (unknown), Anne M. Pilaro, (unknown), Ruth Cordoba-Rodriguez, Kallappa M. Koti, Mark D. Rothmann, Angela Men, Hong Zhao, (unknown), Patricia Keegan, (unknown), Richard Pazdur	68
9	New Tests for Null Hypothesis of Non Unity Ratio of Proportions 2007 ·Journal of Biopharmaceutical Statistics ·Kallappa M. Koti	1
10	Use of the Fieller–Hinkley Distribution of the Ratio of Random Variables in Testing for Noninferiority 2007 ·Journal of Biopharmaceutical Statistics ·Kallappa M. Koti	6
11	Gamma failure‐time mixture models: yet another way to establish efficacy 2003 ·Pharmaceutical Statistics ·Kallappa M. Koti	1
12	On a Primary Efficacy Endpoint 2001 ·Drug Information Journal ·Kallappa M. Koti	4
13	Failure-Time Mixture Models: Yet Another Way to Establish Efficacy 2001 ·Drug Information Journal ·Kallappa M. Koti	4
14	Some inequalities in incomplete beta functions by using statistical techniques 1989 ·Communication in Statistics- Theory and Methods ·Kallappa M. Koti	0

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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