Ni Ni Win

19 total papers · 454 total citations
10 papers, 344 citations indexed

About

Ni Ni Win is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Anesthesiology and Pain Medicine. According to data from OpenAlex, Ni Ni Win has authored 10 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 3 papers in Anesthesiology and Pain Medicine. Recurrent topics in Ni Ni Win's work include Heart Rate Variability and Autonomic Control (4 papers), Anesthesia and Sedative Agents (3 papers) and Cardiovascular Syncope and Autonomic Disorders (2 papers). Ni Ni Win is often cited by papers focused on Heart Rate Variability and Autonomic Control (4 papers), Anesthesia and Sedative Agents (3 papers) and Cardiovascular Syncope and Autonomic Disorders (2 papers). Ni Ni Win collaborates with scholars based in Malaysia, Japan and United States. Ni Ni Win's co-authors include Hikaru Kohase, Masahiro Umino, Haruhisa Fukayama, Mohammad Tariqur Rahman, Rahela Zaman, Cho Naing, Yu Sui Chen, Michael T. Haneline, M Umino and Maxine Whittaker and has published in prestigious journals such as British Journal Of Nutrition, Anesthesia & Analgesia and Medicine.

In The Last Decade

Ni Ni Win

10 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Ni Ni Win	122	80	79	49	39	10	344
ET O’Brien	279 2.3×	22 0.3×	116 1.5×	13 0.3×	16 0.4×	17	400
Daniela C. Rosenberger	41 0.3×	77 1.0×	97 1.2×	22 0.4×	20 0.5×	12	345
Tonia Nicholson	36 0.3×	67 0.8×	128 1.6×	23 0.5×	32 0.8×	10	366
L. Aaltonen	40 0.3×	105 1.3×	58 0.7×	33 0.7×	16 0.4×	27	356
Bradley Se	86 0.7×	27 0.3×	104 1.3×	17 0.3×	7 0.2×	16	395
Manuela Crucitti	25 0.2×	112 1.4×	191 2.4×	14 0.3×	15 0.4×	17	328
Byeng Chun Song	23 0.2×	29 0.4×	28 0.4×	25 0.5×	41 1.1×	9	385
K.‐G. Jostell	29 0.2×	43 0.5×	26 0.3×	33 0.7×	28 0.7×	16	344
R.P. Agrawal	39 0.3×	36 0.5×	34 0.4×	12 0.2×	33 0.8×	11	365
Christopher R. DeWitt	69 0.6×	15 0.2×	31 0.4×	55 1.1×	57 1.5×	9	308

Countries citing papers authored by Ni Ni Win

Since Specialization

Citations

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

Fields of papers citing papers by Ni Ni Win

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ni Ni Win

This figure shows the co-authorship network connecting the top 25 collaborators of Ni Ni Win. A scholar is included among the top collaborators of Ni Ni Win 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 Ni Ni Win. Ni Ni Win 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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