Theodor E. Haerry

1.3k citations
14 papers · 1.1k · h-index 12

Impact in

Papers in

    • Developmental Biology and Gene Regulation 13
    • RNA Research and Splicing 5
    • TGF-β signaling in diseases 5
    • Kruppel-like factors research 3
    • Genomics and Chromatin Dynamics 3
    • Neurobiology and Insect Physiology Research 4

Theodor E. Haerry

14 papers receiving 1.1k citations

Peers

Theodor E. Haerry
Comparison fields: 5 of 73
  • Aging 82
  • Cellular and Molecular Neuroscience 446
  • Cell Biology 305
  • Molecular Biology 849
  • Developmental Neuroscience 30
Replace Karl‐Friedrich Fischbach with:
Karl‐Friedrich Fischbach Germany
Tadmiri Venkatesh United States
Takahiro Chihara Japan
Heather T. Broihier United States
Julie Broadus United States
Michel Gho France
Emma Rushton United States
E. Jay Rehm United States
Toby Lieber United States
Quynh Chu‐LaGraff United States
Theodor E. Haerry relative to Karl‐Friedrich Fischbach Germany Karl‐Friedrich Fischbach's profile →
Citations per field
00.5×1.5×
Karl‐Friedrich Fischbach · 1×
Citations per year

Countries citing papers authored by Theodor E. Haerry

Since Specialization
Citations

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

Fields of papers citing papers by Theodor E. Haerry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theodor E. Haerry. 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 Theodor E. Haerry. The network helps show where Theodor E. Haerry may publish in the future.

Co-authors

The 25 scholars most cited alongside Theodor E. Haerry, 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 Theodor E. Haerry Line = papers co-authored together Theodor E. Haerry links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2002263
2 2003191
3 1997170
4 1999164
5 1996119
6 200744
7 199637
8 199726
9 199720
10 200216
11 201015
12 200714
13 20165
14 20113

About Theodor E. Haerry

Theodor E. Haerry is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Paleontology and Infectious Diseases, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (13 papers), RNA Research and Splicing (5 papers), TGF-β signaling in diseases (5 papers), Neurobiology and Insect Physiology Research (4 papers), Kruppel-like factors research (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Genomics and Chromatin Dynamics (3 papers) and Marine Invertebrate Physiology and Ecology (1 paper). The work is most often cited by research in Aging (82 citations), Cellular and Molecular Neuroscience (446 citations), Cell Biology (305 citations), Molecular Biology (849 citations) and Developmental Neuroscience (30 citations). Theodor E. Haerry has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Michael B. O’Connor, J. Lawrence Marsh, Mary Jane Shimell, Peter Duchek, Bing Zhang, Guillermo Marqués, Hong Bao, Walter J. Gehring, Heidi Theisen and Tzumin Lee. Their work appears in journals such as Mechanisms of Development, Development, Genes & Development, Gene and Proceedings of the National Academy of 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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