Connie Jiang

1.2k citations
20 papers · 754 · h-index 14

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • Epigenetics and DNA Methylation 3
    • Pluripotent Stem Cells Research 2
    • Genetic Syndromes and Imprinting 3
    • Genomics and Rare Diseases 2

Connie Jiang

19 papers receiving 748 citations

Peers

Connie Jiang
Comparison fields: 5 of 84
  • Developmental Neuroscience 152
  • Critical Care and Intensive Care Medicine 82
  • Anesthesiology and Pain Medicine 75
  • Biophysics 46
  • Molecular Biology 435
Replace Odmara L. Barreto Chang with:
Odmara L. Barreto Chang United States
Darko Bogdanović Sweden
Laura Gritti Italy
Matthias Herkert Germany
S. Naidu United States
Suhail Asrar Canada
Edith M. Schneider Gasser Switzerland
Jonathan A. Fidler United States
Phuong N. Nguyen Australia
Connie Jiang relative to Odmara L. Barreto Chang United States Odmara L. Barreto Chang's profile →
Citations per field
00.5×5.8×
Odmara L. Barreto Chang · 1×
Citations per year

Countries citing papers authored by Connie Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Connie Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018107
2 201392
3 201491
4 202184
5 201476
6 202053
7 201848
8 202136
9 201629
10 200325
11 202224
12 202218
13 201916
14 202115
15 202413
16 202211
17 202310
18 20245
19 20251
20 20180

About Connie Jiang

Connie Jiang is a scholar working on Molecular Biology, Genetics, Biophysics, Cardiology and Cardiovascular Medicine and Developmental Neuroscience, having authored 20 papers that have together received 754 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers), Epigenetics and DNA Methylation (3 papers), Genetic Syndromes and Imprinting (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Pluripotent Stem Cells Research (2 papers), Anesthesia and Neurotoxicity Research (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Developmental Neuroscience (152 citations), Critical Care and Intensive Care Medicine (82 citations), Anesthesiology and Pain Medicine (75 citations), Biophysics (46 citations) and Molecular Biology (435 citations). Connie Jiang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Marisa S. Bartolomei, Jennifer M. Kalish, Arjun Raj, Ian Dardani, Benjamin Emert, Eduardo A. Torre, Rylon D. Hofacer, Andreas W. Loepke, Bernadin Joseph and Elizabeth Hughes. Their work appears in journals such as Nature Biotechnology, Nature Methods, The International Journal of Developmental Biology, Genome biology and Human Genetics and Genomics Advances.

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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