Tingting Zhang

163 total papers · 2.6k total citations
103 papers, 1.8k citations indexed

About

Tingting Zhang is a scholar working on Surgery, Pathology and Forensic Medicine and General Health Professions. According to data from OpenAlex, Tingting Zhang has authored 103 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Surgery, 21 papers in Pathology and Forensic Medicine and 13 papers in General Health Professions. Recurrent topics in Tingting Zhang's work include Multiple Sclerosis Research Studies (12 papers), Geriatric Care and Nursing Homes (9 papers) and Dementia and Cognitive Impairment Research (6 papers). Tingting Zhang is often cited by papers focused on Multiple Sclerosis Research Studies (12 papers), Geriatric Care and Nursing Homes (9 papers) and Dementia and Cognitive Impairment Research (6 papers). Tingting Zhang collaborates with scholars based in China, United States and Canada. Tingting Zhang's co-authors include Scott B. Patten, Changhong Li, Qing‐Bao Tian, Dianwu Liu, Nicolai M. Doliba, Helen Tremlett, Zhen Liu, Yingli Liu, Jingjing Zhao and Ruth Ann Marrie and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Tingting Zhang

96 papers receiving 1.7k citations

Hit Papers

Pdx1 Maintains β Cell Ide... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Tingting Zhang 543 461 353 238 214 103 1.8k
Hari M. Sharma 332 0.6× 273 0.6× 455 1.3× 115 0.5× 194 0.9× 95 2.3k
Behzat Özkan 255 0.5× 586 1.3× 283 0.8× 182 0.8× 266 1.2× 156 1.9k
Mark A. Moyad 278 0.5× 161 0.3× 276 0.8× 117 0.5× 234 1.1× 119 1.6k
Kwang‐Pil Ko 309 0.6× 288 0.6× 292 0.8× 179 0.8× 158 0.7× 93 2.0k
Hung‐Pin Tu 322 0.6× 248 0.5× 477 1.4× 80 0.3× 147 0.7× 144 2.3k
Gerald Haidinger 286 0.5× 152 0.3× 453 1.3× 160 0.7× 276 1.3× 110 2.4k
J. J. Barboriak 434 0.8× 397 0.9× 159 0.5× 239 1.0× 580 2.7× 60 2.2k
Giovanni Federico 257 0.5× 289 0.6× 485 1.4× 363 1.5× 344 1.6× 102 2.1k
Hirotsugu Miyake 194 0.4× 268 0.6× 322 0.9× 158 0.7× 98 0.5× 91 2.0k
James R. Bell 219 0.4× 235 0.5× 527 1.5× 170 0.7× 230 1.1× 77 1.9k

Countries citing papers authored by Tingting Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Zhang

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