Ni‐Chun Tsai

90 total papers · 1.4k total citations
48 papers, 708 citations indexed

About

Ni‐Chun Tsai is a scholar working on Oncology, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Ni‐Chun Tsai has authored 48 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 26 papers in Pathology and Forensic Medicine and 20 papers in Hematology. Recurrent topics in Ni‐Chun Tsai's work include Lymphoma Diagnosis and Treatment (26 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Acute Lymphoblastic Leukemia research (10 papers). Ni‐Chun Tsai is often cited by papers focused on Lymphoma Diagnosis and Treatment (26 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Acute Lymphoblastic Leukemia research (10 papers). Ni‐Chun Tsai collaborates with scholars based in United States, Israel and Germany. Ni‐Chun Tsai's co-authors include Joycelynne Palmer, Stephen J. Forman, Auayporn Nademanee, Sandra H. Thomas, Robert Chen, Amrita Krishnan, Len Farol, Leslie Popplewell, David Smith and Yale D. Podnos and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Ni‐Chun Tsai

44 papers receiving 697 citations

Author Peers

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

Author						Papers	Cites
Ni‐Chun Tsai	382	320	241	130	103	48	708
Walter Longo	387 1.0×	254 0.8×	255 1.1×	117 0.9×	156 1.5×	62	843
Eileen Smith	301 0.8×	253 0.8×	516 2.1×	256 2.0×	135 1.3×	43	876
Andreas K. Klein	348 0.9×	198 0.6×	271 1.1×	178 1.4×	94 0.9×	54	729
Charalampia Kyriakou	332 0.9×	252 0.8×	332 1.4×	153 1.2×	111 1.1×	29	721
Bal Kampalath	349 0.9×	276 0.9×	89 0.4×	123 0.9×	186 1.8×	31	809
Amer Beitinjaneh	332 0.9×	137 0.4×	284 1.2×	105 0.8×	69 0.7×	64	689
Michela Cerno	232 0.6×	149 0.5×	371 1.5×	158 1.2×	77 0.7×	32	651
Jennifer A. Kanakry	530 1.4×	305 1.0×	194 0.8×	192 1.5×	46 0.4×	50	764
Eulogio Conde	407 1.1×	534 1.7×	186 0.8×	178 1.4×	185 1.8×	43	868
Kinuko Tajima	532 1.4×	131 0.4×	287 1.2×	131 1.0×	71 0.7×	51	906

Countries citing papers authored by Ni‐Chun Tsai

Since Specialization

Citations

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

Fields of papers citing papers by Ni‐Chun Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ni‐Chun Tsai

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