Jacqueline Segall

3.7k citations
34 papers · 3.3k indexed · 2 hit papers · h-index 25
Topics
Fungal and yeast genetics research (25 papers)RNA and protein synthesis mechanisms (10 papers)Genomics and Chromatin Dynamics (10 papers)

In The Last Decade

Jacqueline Segall

34 papers receiving 3.0k citations

Hit Papers

Selective and accurate initiation of transcription at the...197920261994201019791980100200300400500

Peers

Jacqueline Segall
Comparison fields: 5 of 87
  • Molecular Biology 3.0k
  • Genetics 689
  • Plant Science 400
  • Cell Biology 277
  • Biomedical Engineering 241
Replace Lynna M. Hereford with:
Lynna M. Hereford United States
Thomas F. Donahue United States
Judith A. Jaehning United States
Steven G. Sedgwick United Kingdom
Carol S. Newlon United States
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Marjorie Thomas United States
Bik‐Kwoon Tye United States
Masumi Hidaka Japan
Jacqueline Segall relative to Lynna M. Hereford United States Lynna M. Hereford's profile →
Citations per field
00.5×2.8×
Lynna M. Hereford · 1×
Citations per year

Countries citing papers authored by Jacqueline Segall

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Segall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Segall

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Segall. A scholar is included among the top collaborators of Jacqueline Segall 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 Jacqueline Segall. Jacqueline Segall 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 7
2 70
3 18
4 20
5 131
6 7
7 39
8 19
9 48
10 105
11 23
12 162
13 42
14 30
15 9
16 14
17 35
18 371
19
Multiple factors required for accurate initiation of transcription by purified RNA polymerase II.breakdown →
461
20 330

About Jacqueline Segall

Jacqueline Segall is a scholar working on Molecular Biology, Genetics and Food Science, having authored 34 papers that have together received 3.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (25 papers), RNA and protein synthesis mechanisms (10 papers) and Genomics and Chromatin Dynamics (10 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Genetics (689 citations) and Cell Biology (277 citations). Jacqueline Segall has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Robert G. Roeder, P. Anthony Weil, Takashi Matsui, Anthony Percival‐Smith, Donal S. Luse, Helena Friesen, Shelley R. Hepworth, S Y Ng, Julia Pak and Barbara J. Harris. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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