Xiaoli Ma

76 total papers · 485 total citations
30 papers, 285 citations indexed

About

Xiaoli Ma is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Xiaoli Ma has authored 30 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 13 papers in Public Health, Environmental and Occupational Health and 8 papers in Molecular Biology. Recurrent topics in Xiaoli Ma's work include Acute Myeloid Leukemia Research (15 papers), Chronic Myeloid Leukemia Treatments (14 papers) and Acute Lymphoblastic Leukemia research (13 papers). Xiaoli Ma is often cited by papers focused on Acute Myeloid Leukemia Research (15 papers), Chronic Myeloid Leukemia Treatments (14 papers) and Acute Lymphoblastic Leukemia research (13 papers). Xiaoli Ma collaborates with scholars based in China and United States. Xiaoli Ma's co-authors include Hongxing Liu, Xue Chen, Yang Zhang, Panxiang Cao, Fang Wang, Wen Teng, Yu Zhang, Mingyu Wang, Jiaqi Chen and Xiaosu Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer.

In The Last Decade

Xiaoli Ma

28 papers receiving 267 citations

Author Peers

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

Author						Papers	Cites
Xiaoli Ma	147	103	71	55	49	30	285
Alexandra Kolenová	135 0.9×	76 0.7×	120 1.7×	32 0.6×	35 0.7×	40	327
Lisandro Ribeiro	103 0.7×	93 0.9×	43 0.6×	24 0.4×	23 0.5×	23	262
Sigrid Machherndl‐Spandl	155 1.1×	86 0.8×	29 0.4×	23 0.4×	61 1.2×	36	243
Canan Uçar	106 0.7×	55 0.5×	33 0.5×	45 0.8×	34 0.7×	26	293
Erin H. Breese	106 0.7×	116 1.1×	61 0.9×	31 0.6×	17 0.3×	26	294
Gaurav Kharya	106 0.7×	40 0.4×	61 0.9×	64 1.2×	64 1.3×	31	260
Manon Queudeville	84 0.6×	97 0.9×	126 1.8×	42 0.8×	28 0.6×	27	330
Manuela Tumino	68 0.5×	103 1.0×	19 0.3×	29 0.5×	52 1.1×	23	307
Diego Carbonell	114 0.8×	41 0.4×	24 0.3×	50 0.9×	37 0.8×	30	252
Sushrut Patil	99 0.7×	69 0.7×	33 0.5×	77 1.4×	60 1.2×	35	290

Countries citing papers authored by Xiaoli Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoli Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Ma

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