Harriet Kang

1.8k total citations
21 papers, 1.3k citations indexed

About

Harriet Kang is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Harriet Kang has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Psychiatry and Mental health, 15 papers in Pediatrics, Perinatology and Child Health and 6 papers in Genetics. Recurrent topics in Harriet Kang's work include Epilepsy research and treatment (18 papers), Pharmacological Effects and Toxicity Studies (9 papers) and Neonatal and fetal brain pathology (8 papers). Harriet Kang is often cited by papers focused on Epilepsy research and treatment (18 papers), Pharmacological Effects and Toxicity Studies (9 papers) and Neonatal and fetal brain pathology (8 papers). Harriet Kang collaborates with scholars based in United States, Belgium and Germany. Harriet Kang's co-authors include Shlomo Shinnar, Solomon L. Moshé, Anne T. Berg, Eli S. Goldensohn, W. Allen Hauser, Alan Rubin, Christine O’Dell, David Newstein, Steven M. Wolf and Joseph Maytal and has published in prestigious journals such as Neurology, PEDIATRICS and Annals of Neurology.

In The Last Decade

Harriet Kang

20 papers receiving 1.3k citations

Peers

Harriet Kang
Comparison fields: 5 of 81
  • Psychiatry and Mental health 1.1k
  • Pediatrics, Perinatology and Child Health 788
  • Cellular and Molecular Neuroscience 346
  • Genetics 256
  • Molecular Biology 141
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Jorge Eslava‐Cobos Colombia
Yasuko Yamatogi Japan
Joseph Roger Italy
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Kate Riney Australia
J. J. Chevrie France
Ricardo Cersósimo Argentina
Petra M.C. Callenbach Netherlands
B Duché France
Philipp S. Reif Germany
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Citations per field, relative to Harriet Kang
Harriet Kang · 1×
Citations per year, relative to Harriet Kang
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Countries citing papers authored by Harriet Kang

Since Specialization
Citations

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

Fields of papers citing papers by Harriet Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harriet Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Harriet Kang. A scholar is included among the top collaborators of Harriet Kang 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 Harriet Kang. Harriet Kang 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
# Work Indexed citations
1 11
2 14
3 26
4 48
5 65
6 107
7 94
8 17
9 45
10 222
11 97
12 1
13 155
14 92
15 1
16 3
17 22
18 172
19 105
20 3

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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