Suh‐Hwa Maa

30 total papers · 484 total citations
20 papers, 364 citations indexed

About

Suh‐Hwa Maa is a scholar working on Complementary and alternative medicine, Pulmonary and Respiratory Medicine and General Health Professions. According to data from OpenAlex, Suh‐Hwa Maa has authored 20 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Complementary and alternative medicine, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in General Health Professions. Recurrent topics in Suh‐Hwa Maa's work include Acupuncture Treatment Research Studies (6 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Asthma and respiratory diseases (3 papers). Suh‐Hwa Maa is often cited by papers focused on Acupuncture Treatment Research Studies (6 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Asthma and respiratory diseases (3 papers). Suh‐Hwa Maa collaborates with scholars based in Taiwan, United States and Sweden. Suh‐Hwa Maa's co-authors include Horng‐Chyuan Lin, Dorothy K. Gauthier, Malcolm E. Turner, Kuang‐Hung Hsu, Chun‐Hua Wang, Kwua‐Yun Wang, Yea‐Ing Lotus Shyu, Mao-Feng Sun, Tsung‐Shan Tsou and Chih‐Teng Yu and has published in prestigious journals such as CHEST Journal, Journal of Allergy and Clinical Immunology and Medicine.

In The Last Decade

Suh‐Hwa Maa

19 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
Suh‐Hwa Maa	151	128	62	44	43	20	364
Conni Skrubbeltrang	124 0.8×	45 0.4×	51 0.8×	16 0.4×	34 0.8×	23	323
Pengming Yu	166 1.1×	49 0.4×	18 0.3×	38 0.9×	14 0.3×	36	391
Yoo Sun Moon	59 0.4×	30 0.2×	106 1.7×	16 0.4×	28 0.7×	28	392
Anna Norweg	156 1.0×	17 0.1×	59 1.0×	16 0.4×	22 0.5×	20	340
Isabelle Serres	228 1.5×	92 0.7×	21 0.3×	41 0.9×	10 0.2×	13	374
Freda G. DeKeyser	18 0.1×	62 0.5×	32 0.5×	22 0.5×	23 0.5×	29	400
Nur İzgü	47 0.3×	92 0.7×	30 0.5×	7 0.2×	8 0.2×	21	319
Yvonne Goërtz	108 0.7×	20 0.2×	81 1.3×	34 0.8×	18 0.4×	10	310
Nico van Meeteren	76 0.5×	16 0.1×	39 0.6×	14 0.3×	32 0.7×	16	334
Hsiao‐Lan Wang	56 0.4×	57 0.4×	34 0.5×	8 0.2×	8 0.2×	23	367

Countries citing papers authored by Suh‐Hwa Maa

Since Specialization

Citations

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

Fields of papers citing papers by Suh‐Hwa Maa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suh‐Hwa Maa. 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 Suh‐Hwa Maa. The network helps show where Suh‐Hwa Maa may publish in the future.

Co-authorship network of co-authors of Suh‐Hwa Maa

This figure shows the co-authorship network connecting the top 25 collaborators of Suh‐Hwa Maa. A scholar is included among the top collaborators of Suh‐Hwa Maa 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 Suh‐Hwa Maa. Suh‐Hwa Maa 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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