Seint T. Lwin

1.2k total citations
19 papers, 898 citations indexed

About

Seint T. Lwin is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Seint T. Lwin has authored 19 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Molecular Biology and 7 papers in Hematology. Recurrent topics in Seint T. Lwin's work include Multiple Myeloma Research and Treatments (7 papers), Peptidase Inhibition and Analysis (4 papers) and Bone health and treatments (3 papers). Seint T. Lwin is often cited by papers focused on Multiple Myeloma Research and Treatments (7 papers), Peptidase Inhibition and Analysis (4 papers) and Bone health and treatments (3 papers). Seint T. Lwin collaborates with scholars based in United States, United Kingdom and China. Seint T. Lwin's co-authors include Claire M. Edwards, Gregory R. Mundy, James Edwards, Jessica Fowler, Javier Esparza, Srinivasa R. Rao, Junling Zhuang, Donatella Marino, Babatunde O. Oyajobi and Matthew T. Drake and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Seint T. Lwin

19 papers receiving 889 citations

Peers

Seint T. Lwin
Comparison fields: 5 of 90
  • Oncology 411
  • Molecular Biology 396
  • Hematology 286
  • Immunology 118
  • Cancer Research 113
Replace Yuan Xiao Zhu with:
Yuan Xiao Zhu United States
Kishan Patel United States
Gerald Schmid Austria
Desi Pan China
Yoshihiro Yui Japan
HoangDinh Huynh United States
Hisayuki Yao Japan
Manar Shafat United Kingdom
Jumpei Teramachi Japan
Brian Walters United States
Yuan Xiao Zhu United States View profile →
Citations per field, relative to Seint T. Lwin
Seint T. Lwin · 1×
Citations per year, relative to Seint T. Lwin
Seint T. Lwin · 1×

Countries citing papers authored by Seint T. Lwin

Since Specialization
Citations

This map shows the geographic impact of Seint T. Lwin'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 Seint T. Lwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seint T. Lwin more than expected).

Fields of papers citing papers by Seint T. Lwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seint T. Lwin. 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 Seint T. Lwin. The network helps show where Seint T. Lwin may publish in the future.

Co-authorship network of co-authors of Seint T. Lwin

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 11
3 39
4 15
5 34
6 143
7 58
8 98
9 103
10 1
11 107
12 90
13 31
14 31
15 3
16 5
17 1
18 123
19
The expansor secundariorum of the domestic fowl: a smooth muscle-nerve preparation without cholinergic receptors.
4

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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