Minhua Han

965 total citations · 1 hit paper
6 papers, 686 citations indexed

About

Minhua Han is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Minhua Han has authored 6 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Minhua Han's work include Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Minhua Han is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Minhua Han collaborates with scholars based in United States, Germany and Sweden. Minhua Han's co-authors include Mark Selby, Changyu Wang, Kent Thudium, Alan J. Korman, Diann Blanset, Heidi Leblanc, Diane Feingersh, M. S. Srinivasan, Susan Wong and Sujata Singh and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Minhua Han

6 papers receiving 662 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

In Vitro Characterization of the Anti-PD-1 Antibody Nivolumab, BMS-936558, and In Vivo Toxicology in Non-Human Primates

2014 472 citations Changyu Wang, Kent Thudium et al. Cancer Immunology Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Minhua Han United States	5	531	305	137	128	72	6	686
Alexander Filatenkov United States	10	339 0.6×	303 1.0×	93 0.7×	118 0.9×	89 1.2×	19	647
Candy Garcia United States	3	393 0.7×	207 0.7×	81 0.6×	101 0.8×	51 0.7×	3	484
Benjamin Cottam United States	11	672 1.3×	628 2.1×	153 1.1×	124 1.0×	83 1.2×	14	949
Talicia Savage United States	8	447 0.8×	390 1.3×	68 0.5×	110 0.9×	67 0.9×	14	617
Mark Wiese Switzerland	5	695 1.3×	562 1.8×	123 0.9×	178 1.4×	67 0.9×	19	943
Elia Neninger Cuba	12	453 0.9×	370 1.2×	238 1.7×	157 1.2×	135 1.9×	34	661
Diane Feingersh United States	2	395 0.7×	229 0.8×	85 0.6×	101 0.8×	58 0.8×	2	516
Sangeeta Kakoti Japan	7	500 0.9×	262 0.9×	243 1.8×	119 0.9×	42 0.6×	12	647
Sumbal Arooj China	9	374 0.7×	309 1.0×	89 0.6×	180 1.4×	29 0.4×	12	600
Aixa Soyano United States	9	713 1.3×	482 1.6×	234 1.7×	229 1.8×	52 0.7×	30	1.1k

Countries citing papers authored by Minhua Han

Since Specialization

Citations

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

Fields of papers citing papers by Minhua Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minhua Han

This figure shows the co-authorship network connecting the top 25 collaborators of Minhua Han. A scholar is included among the top collaborators of Minhua Han 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 Minhua Han. Minhua Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Baird, Jason R., Alejandro Alice, Ryoichi Saito, et al.. (2024). A novel small molecule Enpp1 inhibitor improves tumor control following radiation therapy by targeting stromal Enpp1 expression. Scientific Reports. 14(1). 29913–29913. 1 indexed citations

2.

Chau, Bryant, Sean M. West, Christopher R. Kimberlin, et al.. (2021). Structures of mouse and human GITR–GITRL complexes reveal unique TNF superfamily interactions. Nature Communications. 12(1). 1378–1378. 18 indexed citations

3.

Schmidt, Brian J., et al.. (2019). Antibodies to Modulate Surface Receptor Systems Are Often Bivalent and Must Compete in a Two‐Dimensional Cell Contact Region. CPT Pharmacometrics & Systems Pharmacology. 8(12). 873–877. 5 indexed citations

4.

Selby, Mark, John Engelhardt, Robert J. Johnston, et al.. (2016). Preclinical Development of Ipilimumab and Nivolumab Combination Immunotherapy: Mouse Tumor Models, In Vitro Functional Studies, and Cynomolgus Macaque Toxicology. PLoS ONE. 11(9). e0161779–e0161779. 175 indexed citations

5.

Wang, Changyu, Kent Thudium, Minhua Han, et al.. (2014). In Vitro Characterization of the Anti-PD-1 Antibody Nivolumab, BMS-936558, and In Vivo Toxicology in Non-Human Primates. Cancer Immunology Research. 2(9). 846–856. 472 indexed citations breakdown →

6.

Han, Bong-Gyoon, Minhua Han, Haixin Sui, et al.. (2002). Crystal structure of human calmodulin‐like protein: insights into its functional role¹. FEBS Letters. 521(1-3). 24–30. 15 indexed citations

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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