Ganesh Umapathy

935 citations
26 papers · 580 indexed · h-index 14
Topics
Neuroblastoma Research and Treatments (20 papers)Cancer therapeutics and mechanisms (10 papers)Cancer, Hypoxia, and Metabolism (10 papers)
Partner nations
SwedenBelgiumChina

In The Last Decade

Ganesh Umapathy

24 papers receiving 573 citations

Peers

Ganesh Umapathy
Comparison fields: 5 of 60
  • Molecular Biology 369
  • Neurology 352
  • Oncology 186
  • Cancer Research 147
  • Pulmonary and Respiratory Medicine 101
Replace Christina Schönherr with:
Christina Schönherr Sweden
Lili T. Belcastro United States
Renata Sano United States
Karina L. Conkrite United States
JulieAnn Rader United States
Gisèle Danglot France
Zaowen Chen United States
Jessica Theißen Germany
Frederik Roels Germany
Bernd Berwanger Germany
Ganesh Umapathy relative to Christina Schönherr Sweden Christina Schönherr's profile →
Citations per field
00.5×5.3×
Christina Schönherr · 1×
Citations per year

Countries citing papers authored by Ganesh Umapathy

Since Specialization
Citations

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

Fields of papers citing papers by Ganesh Umapathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesh Umapathy

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesh Umapathy. A scholar is included among the top collaborators of Ganesh Umapathy 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 Ganesh Umapathy. Ganesh Umapathy 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
#WorkIndexed citations
1 0
2 2
3 1
4 0
5 3
6 1
7 15
8 6
9 7
10 12
11 5
12 33
13 17
14 23
15 19
16 1
17 29
18 41
19 53
20 105

About Ganesh Umapathy

Ganesh Umapathy is a scholar working on Neurology, Cancer Research and Oncology, having authored 26 papers that have together received 580 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (20 papers), Cancer therapeutics and mechanisms (10 papers) and Cancer, Hypoxia, and Metabolism (10 papers). The work is most often cited by research in Neurology (352 citations), Cancer Research (147 citations) and Oncology (186 citations). Ganesh Umapathy has collaborated with scholars based in Sweden, Belgium and China. Frequent co-authors include Ruth H. Palmer, Bengt Hallberg, Patricia Mendoza-García, Jikui Guan, Kristina Ruuth, Barbara Witek, Fredrik Hugosson, Tommy Martinsson, Abeer El Wakil and Georg Wolfstetter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

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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