Glen M. Borchert

3.2k citations
54 papers · 1.9k indexed · 1 hit paper · h-index 17
Topics
RNA modifications and cancer (20 papers)MicroRNA in disease regulation (16 papers)Cancer-related molecular mechanisms research (14 papers)
Partner nations
United StatesChinaBrazil

In The Last Decade

Glen M. Borchert

53 papers receiving 1.8k citations

Hit Papers

RNA polymerase III transcribes human microRNAs200620262012201920062505007501000

Peers

Glen M. Borchert
Comparison fields: 5 of 123
  • Molecular Biology 1.5k
  • Cancer Research 1.1k
  • Plant Science 172
  • Immunology 124
  • Epidemiology 59
Replace Eduardo M. Reis with:
Eduardo M. Reis Brazil
Fabian Kern Germany
Shivangi Wani Australia
Spyros Tastsoglou Greece
Vinicius Maracaja‐Coutinho Chile
Zhumur Ghosh India
Xuning Wang China
Hongshan Guo China
G. Brett Robb United States
Glen M. Borchert relative to Eduardo M. Reis Brazil Eduardo M. Reis's profile →
Citations per field
00.5×1.5×2.4×
Eduardo M. Reis · 1×
Citations per year

Countries citing papers authored by Glen M. Borchert

Since Specialization
Citations

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

Fields of papers citing papers by Glen M. Borchert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glen M. Borchert

This figure shows the co-authorship network connecting the top 25 collaborators of Glen M. Borchert. A scholar is included among the top collaborators of Glen M. Borchert 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 Glen M. Borchert. Glen M. Borchert 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 11
2 4
3 14
4 9
5 45
6 11
7 4
8 1
9 13
10 27
11 7
12 29
13 32
14 7
15 19
16 19
17 24
18 22
19 10
20 120

About Glen M. Borchert

Glen M. Borchert is a scholar working on Cancer Research, Molecular Biology and Endocrinology, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (20 papers), MicroRNA in disease regulation (16 papers) and Cancer-related molecular mechanisms research (14 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.5k citations) and Immunology (124 citations). Glen M. Borchert has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include William P. Lanier, Beverly L. Davidson, Justin T. Roberts, Erik D. Larson, Debashish Bhattacharya, Ryan M. Spengler, Yi Xing, Jingshan Huang, Brian L. Gilmore and Viktor Pastukh. Their work appears in journals such as PLoS ONE, The FASEB Journal and International Journal of Molecular Sciences.

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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