Ann S. Zweig

20.6k citations
16 papers · 2.3k indexed · 2 hit papers · h-index 12
Topics
Genomics and Phylogenetic Studies (11 papers)RNA and protein synthesis mechanisms (4 papers)RNA modifications and cancer (3 papers)
Partner nations
United StatesGermany

In The Last Decade

Ann S. Zweig

16 papers receiving 2.3k citations

Hit Papers

BigWig and BigBed: enabling browsing of large distributed...201020262015202020102018200400600

Peers

Ann S. Zweig
Comparison fields: 5 of 115
  • Molecular Biology 1.8k
  • Genetics 428
  • Cancer Research 399
  • Plant Science 247
  • Immunology 148
Replace San Ming Wang with:
San Ming Wang United States
Matthias Harbers Japan
Marius Gheorghe Norway
Judith B. Zaugg Germany
Şerban Nacu United States
Hongshan Guo China
Giovanna Ambrosini Switzerland
Jeff Vierstra United States
Vsevolod J. Makeev Russia
Thomas Royce United States
Ann S. Zweig relative to San Ming Wang United States San Ming Wang's profile →
Citations per field
00.5×3.1×
San Ming Wang · 1×
Citations per year

Countries citing papers authored by Ann S. Zweig

Since Specialization
Citations

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

Fields of papers citing papers by Ann S. Zweig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann S. Zweig. 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 Ann S. Zweig. The network helps show where Ann S. Zweig may publish in the future.

Co-authorship network of co-authors of Ann S. Zweig

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 60
3 136
4
The UCSC Genome Browser database: 2019 updatebreakdown →
547
5 48
6 14
7 4
8 32
9 254
10
BigWig and BigBed: enabling browsing of large distributed datasetsbreakdown →
741
11 263
12 71
13 22
14 66
15 3
16 7

About Ann S. Zweig

Ann S. Zweig is a scholar working on Computer Science Applications, Molecular Biology and Cancer Research, having authored 16 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (399 citations), Molecular Biology (1.8k citations) and Genetics (428 citations). Ann S. Zweig has collaborated with scholars based in United States and Germany. Frequent co-authors include Angie S. Hinrichs, Donna Karolchik, W. James Kent, G. P. Barber, Brian J. Raney, David Haussler, Robert M. Kuhn, Hiram Clawson, Kate R. Rosenbloom and Galt P Barber. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

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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