William Sofer

1.7k citations
39 papers · 1.4k · h-index 21

Impact in

Papers in

    • RNA Research and Splicing 5
    • Insect Resistance and Genetics 5
    • Genomics and Chromatin Dynamics 4
    • CRISPR and Genetic Engineering 4
    • Microbial Metabolic Engineering and Bioproduction 3
    • Neurobiology and Insect Physiology Research 12

William Sofer

38 papers receiving 1.3k citations

Peers

William Sofer
Comparison fields: 5 of 110
  • Aging 52
  • Insect Science 232
  • Cellular and Molecular Neuroscience 341
  • Molecular Biology 861
  • Ecology 254
Replace David T. Sullivan with:
David T. Sullivan United States
Ross MacIntyre United States
Ernst Hadorn Switzerland
Arthur Chovnick United States
Hideaki Maekawa Japan
Kozo Tsuchida Japan
Winifred W. Doane United States
Jean‐Antoine Lepesant France
Péter Maróy Hungary
Pieter W. H. Heinstra Netherlands
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Citations per field
00.5×1.5×
David T. Sullivan · 1×
Citations per year

Countries citing papers authored by William Sofer

Since Specialization
Citations

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

Fields of papers citing papers by William Sofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Sofer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Sofer Line = papers co-authored together William Sofer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968122
2 1981119
3 197094
4 197278
5 197575
6 200674
7 198368
8 198265
9 198664
10 197759
11 198758
12 197648
13 197647
14 198046
15 197939
16 197938
17 196437
18 197637
19 196829
20 198525

About William Sofer

William Sofer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ecology, Genetics and Animal Science and Zoology, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (12 papers), Physiological and biochemical adaptations (10 papers), RNA Research and Splicing (5 papers), Insect Resistance and Genetics (5 papers), Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (4 papers), Invertebrate Immune Response Mechanisms (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Aging (52 citations), Insect Science (232 citations), Cellular and Molecular Neuroscience (341 citations), Molecular Biology (861 citations) and Ecology (254 citations). William Sofer has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Heinrich W. Ursprung, Cheeptip Benyajati, Allen R. Place, Presley Martin, Marcia Schwartz, Janis M. O’Donnell, Dennis A. Powers, Nancy Wang, R.M. Iverson and Larry Gerace. Their work appears in journals such as Biochemical Genetics, Genetics, Nucleic Acids Research, Science and Journal of Biological Chemistry.

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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