Dabin Hwang

10 total papers · 563 total citations
4 papers, 192 citations indexed

About

Dabin Hwang is a scholar working on Sociology and Political Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dabin Hwang has authored 4 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Sociology and Political Science, 1 paper in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Dabin Hwang's work include Urban, Neighborhood, and Segregation Studies (2 papers), Neurotransmitter Receptor Influence on Behavior (1 paper) and Neural dynamics and brain function (1 paper). Dabin Hwang is often cited by papers focused on Urban, Neighborhood, and Segregation Studies (2 papers), Neurotransmitter Receptor Influence on Behavior (1 paper) and Neural dynamics and brain function (1 paper). Dabin Hwang collaborates with scholars based in United States. Dabin Hwang's co-authors include Jeremiah Y. Cohen, Sachie K. Ogawa, Naoshige Uchida, Mitsuko Watabe‐Uchida, Samantha Teixeira, Rebekah Levine Coley and Daphne A. Henry and has published in prestigious journals such as Cell Reports, Housing Policy Debate and Race and Social Problems.

In The Last Decade

Dabin Hwang

4 papers receiving 191 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dabin Hwang	125	87	64	25	24	4	192
Joseph R Floeder	88 0.7×	86 1.0×	49 0.8×	31 1.2×	11 0.5×	8	184
Hunter O. King	47 0.4×	70 0.8×	59 0.9×	33 1.3×	17 0.7×	4	253
Maya Jay	68 0.5×	61 0.7×	31 0.5×	16 0.6×	6 0.3×	3	129
Kalyani Narasimhan	115 0.9×	45 0.5×	65 1.0×	12 0.5×	18 0.8×	8	182
Alexander B. Johnson	215 1.7×	137 1.6×	102 1.6×	26 1.0×	34 1.4×	4	273
Pritish Patil	183 1.5×	101 1.2×	91 1.4×	22 0.9×	16 0.7×	4	270
Mohammed Abdal Monium Osman	64 0.5×	55 0.6×	31 0.5×	16 0.6×	6 0.3×	2	122
Ashley Park	54 0.4×	62 0.7×	72 1.1×	43 1.7×	9 0.4×	3	292
Talmage L. Peele	95 0.8×	100 1.1×	36 0.6×	50 2.0×	42 1.8×	5	231
Hadj Aoued	81 0.6×	27 0.3×	41 0.6×	16 0.6×	10 0.4×	4	141

Countries citing papers authored by Dabin Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Dabin Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dabin Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Dabin Hwang. A scholar is included among the top collaborators of Dabin Hwang 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 Dabin Hwang. Dabin Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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