Jitendra Ganju

544 total citations
30 papers, 349 citations indexed

About

Jitendra Ganju is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Jitendra Ganju has authored 30 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 6 papers in Management Science and Operations Research and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Jitendra Ganju's work include Statistical Methods in Clinical Trials (21 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Jitendra Ganju is often cited by papers focused on Statistical Methods in Clinical Trials (21 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Jitendra Ganju collaborates with scholars based in United States, Italy and Poland. Jitendra Ganju's co-authors include James M. Lucas, Rino Rappuoli, Mario Contorni, Bruce F. Scharschmidt, Giuseppe Del Giudice, Bernd Rosenkranz, Emanuela Palla, Viola Schultze, Samuele Peppoloni and Deborah L. Novicki and has published in prestigious journals such as Circulation, Gastroenterology and Biometrics.

In The Last Decade

Jitendra Ganju

28 papers receiving 332 citations

Peers

Jitendra Ganju
Comparison fields: 5 of 77
  • Surgery 127
  • Statistics and Probability 101
  • Immunology 84
  • Management Science and Operations Research 72
  • Small Animals 47
Replace Sujay Datta with:
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Seung-Ho Kang South Korea
Sandeep Menon United States
Chang‐Yun Lin Taiwan
Raymond L. H. Lam United States
Robin J. Svensson Sweden
Jerzy Liebhart Poland
Zhaoling Meng United States
Caroline Morgan Australia
Yanqin Feng China
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Citations per field, relative to Jitendra Ganju
Jitendra Ganju · 1×
Citations per year, relative to Jitendra Ganju
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Countries citing papers authored by Jitendra Ganju

Since Specialization
Citations

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

Fields of papers citing papers by Jitendra Ganju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitendra Ganju

This figure shows the co-authorship network connecting the top 25 collaborators of Jitendra Ganju. A scholar is included among the top collaborators of Jitendra Ganju 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 Jitendra Ganju. Jitendra Ganju 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
# Work Indexed citations
1 3
2 2
3 11
4 0
5
Abstract 14214: ATTRibute-CM: A Randomized, Double-Blind, Placebo-Controlled, Multi-Center, Global Phase 3 Study of AG10 in Patients With Transthyretin Amyloid Cardiomyopathy (ATTR-CM)
5
6 0
7 2
8 2
9 2
10 8
11 1
12 9
13 3
14 137
15 8
16 11
17 10
18 1
19 27
20 24

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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