Yi L. Hwa

325 total papers · 6.2k total citations
64 papers, 1.4k citations indexed

About

Yi L. Hwa is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Yi L. Hwa has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hematology, 37 papers in Molecular Biology and 22 papers in Oncology. Recurrent topics in Yi L. Hwa's work include Multiple Myeloma Research and Treatments (34 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (18 papers) and Protein Degradation and Inhibitors (13 papers). Yi L. Hwa is often cited by papers focused on Multiple Myeloma Research and Treatments (34 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (18 papers) and Protein Degradation and Inhibitors (13 papers). Yi L. Hwa collaborates with scholars based in United States, China and Italy. Yi L. Hwa's co-authors include Jin‐Ping Li, S. Vincent Rajkumar, Prashant Kapoor, Shaji Kumar, Morie A. Gertz, Angela Dispenzieri, Francis K. Buadi, Martha Q. Lacy, Shi-Wen Jiang and Sean C. Dowdy and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Yi L. Hwa

61 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Yi L. Hwa 918 604 424 190 93 64 1.4k
Fausto Adami 471 0.5× 318 0.5× 353 0.8× 344 1.8× 204 2.2× 50 1.5k
Erasmia Psimenou 875 1.0× 669 1.1× 404 1.0× 260 1.4× 72 0.8× 69 1.5k
Bhanu Kanth Manne 521 0.6× 544 0.9× 304 0.7× 93 0.5× 215 2.3× 44 1.8k
Patrick Man Pan Yuen 359 0.4× 493 0.8× 194 0.5× 279 1.5× 55 0.6× 62 1.3k
Gunhild Keller 554 0.6× 201 0.3× 357 0.8× 141 0.7× 49 0.5× 45 1.6k
Adriana Zingone 943 1.0× 446 0.7× 430 1.0× 106 0.6× 44 0.5× 59 1.8k
Deborah L. Ornstein 381 0.4× 617 1.0× 365 0.9× 233 1.2× 36 0.4× 73 1.7k
Toby N. Trahair 707 0.8× 251 0.4× 383 0.9× 88 0.5× 343 3.7× 87 1.7k
Hsi‐Che Liu 702 0.8× 758 1.3× 224 0.5× 200 1.1× 83 0.9× 72 1.6k
Luke Coyle 374 0.4× 630 1.0× 346 0.8× 229 1.2× 49 0.5× 45 1.5k

Countries citing papers authored by Yi L. Hwa

Since Specialization
Citations

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

Fields of papers citing papers by Yi L. Hwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi L. Hwa. 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 Yi L. Hwa. The network helps show where Yi L. Hwa may publish in the future.

Co-authorship network of co-authors of Yi L. Hwa

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