Madhvi B. Upender

1.3k total citations
21 papers, 1000 citations indexed

About

Madhvi B. Upender is a scholar working on Genetics, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Madhvi B. Upender has authored 21 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Pathology and Forensic Medicine and 7 papers in Cancer Research. Recurrent topics in Madhvi B. Upender's work include Genetic factors in colorectal cancer (8 papers), Genomic variations and chromosomal abnormalities (7 papers) and Cancer Genomics and Diagnostics (6 papers). Madhvi B. Upender is often cited by papers focused on Genetic factors in colorectal cancer (8 papers), Genomic variations and chromosomal abnormalities (7 papers) and Cancer Genomics and Diagnostics (6 papers). Madhvi B. Upender collaborates with scholars based in United States, Sweden and Germany. Madhvi B. Upender's co-authors include Thomas Ried, Jens K. Habermann, A. Gregory Matera, Sam John, Miroslav Dundr, Jason K. Ospina, Myong‐Hee Sung, Gordon L. Hager, Lisa M. McShane and Edward L. Korn and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Madhvi B. Upender

20 papers receiving 986 citations

Peers

Madhvi B. Upender
Comparison fields: 5 of 81
  • Molecular Biology 587
  • Genetics 261
  • Cancer Research 215
  • Cell Biology 193
  • Oncology 152
Replace Laura A. Lee with:
Laura A. Lee United States
Nico Lansu Netherlands
Sebastian Patzke Norway
F. Apiou France
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Ivana L. de la Serna United States
Mark A. Brenneman United States
Yannick Bidet France
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Citations per field, relative to Madhvi B. Upender
Madhvi B. Upender · 1×
Citations per year, relative to Madhvi B. Upender
Madhvi B. Upender · 1×

Countries citing papers authored by Madhvi B. Upender

Since Specialization
Citations

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

Fields of papers citing papers by Madhvi B. Upender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madhvi B. Upender. 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 Madhvi B. Upender. The network helps show where Madhvi B. Upender may publish in the future.

Co-authorship network of co-authors of Madhvi B. Upender

This figure shows the co-authorship network connecting the top 25 collaborators of Madhvi B. Upender. A scholar is included among the top collaborators of Madhvi B. Upender 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 Madhvi B. Upender. Madhvi B. Upender 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 15
2 15
3 14
4 19
5 90
6 242
7 83
8 2
9 137
10 43
11 15
12 17
13
Silence of chromosomal amplifications in colon cancer.
125
14 42
15 25
16 5
17
Megaprimer method for in vitro mutagenesis using parallel templates.
15
18 6
19 80
20 10

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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