Haige Shen

15 total papers · 945 total citations
11 papers, 300 citations indexed

About

Haige Shen is a scholar working on Molecular Biology, Oncology and Civil and Structural Engineering. According to data from OpenAlex, Haige Shen has authored 11 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Civil and Structural Engineering. Recurrent topics in Haige Shen's work include TGF-β signaling in diseases (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Retinal Diseases and Treatments (1 paper). Haige Shen is often cited by papers focused on TGF-β signaling in diseases (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Retinal Diseases and Treatments (1 paper). Haige Shen collaborates with scholars based in China, United States and Italy. Haige Shen's co-authors include Paul Mitchell, Ortrud Gerstner, Gabriele E. Lang, Paolo Lanzetta, Pascale Massin, Frank G. Holz, Reinier O. Schlingemann, Ursula Schmidt‐Erfurth, Aaron Osborne and Yu Wang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Ophthalmology.

In The Last Decade

Haige Shen

10 papers receiving 291 citations

Author Peers

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

Author						Papers	Cites
Haige Shen	238	206	58	24	12	11	300
Marissa Weber	261 1.1×	154 0.7×	87 1.5×	14 0.6×	9 0.8×	14	323
Izumi Kawasaki	270 1.1×	192 0.9×	97 1.7×	11 0.5×	17 1.4×	11	353
Monica Sevilla	198 0.8×	211 1.0×	45 0.8×	12 0.5×	21 1.8×	7	263
Vivian Chiu	265 1.1×	215 1.0×	34 0.6×	29 1.2×	14 1.2×	13	335
Anna Majerovics	229 1.0×	205 1.0×	29 0.5×	36 1.5×	8 0.7×	8	300
Anima Bühler	275 1.2×	194 0.9×	77 1.3×	15 0.6×	3 0.3×	12	332
Anne F. Alex	152 0.6×	109 0.5×	77 1.3×	7 0.3×	19 1.6×	14	236
Robert B. Garoon	244 1.0×	128 0.6×	84 1.4×	64 2.7×	9 0.8×	15	298
Matthew Pilgrim	247 1.0×	167 0.8×	142 2.4×	8 0.3×	12 1.0×	9	337
Hind Azegrouz	87 0.4×	114 0.6×	65 1.1×	11 0.5×	18 1.5×	10	261

Countries citing papers authored by Haige Shen

Since Specialization

Citations

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

Fields of papers citing papers by Haige Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haige Shen

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