Min Han

1.5k total citations
32 papers, 1.1k citations indexed

About

Min Han is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Min Han has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Min Han's work include Alzheimer's disease research and treatments (4 papers), Cervical Cancer and HPV Research (4 papers) and Breast Lesions and Carcinomas (4 papers). Min Han is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Cervical Cancer and HPV Research (4 papers) and Breast Lesions and Carcinomas (4 papers). Min Han collaborates with scholars based in United States, China and Sweden. Min Han's co-authors include Robert G. Nagele, Eric P. Nagele, Cassandra DeMarshall, Nimish K. Acharya, Mary C. Kosciuk, Benjamin A. Belinka, Eli C. Levin, Venkateswar Venkataraman, S H Kim and Junghyun Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Min Han

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Han United States 13 423 261 195 178 173 32 1.1k
Brian Gordon United States 16 302 0.7× 176 0.7× 76 0.4× 272 1.5× 172 1.0× 35 1.2k
Weili Bao United States 22 492 1.2× 311 1.2× 142 0.7× 245 1.4× 166 1.0× 50 1.8k
Jin Zhu China 22 298 0.7× 472 1.8× 75 0.4× 190 1.1× 126 0.7× 62 1.8k
Paola Forabosco Italy 23 453 1.1× 174 0.7× 216 1.1× 317 1.8× 60 0.3× 48 1.5k
Günther Staffler Austria 20 472 1.1× 182 0.7× 94 0.5× 529 3.0× 185 1.1× 29 1.4k
Tania Colasanti Italy 25 595 1.4× 185 0.7× 61 0.3× 525 2.9× 112 0.6× 66 1.8k
J. Steven Alexander United States 23 502 1.2× 120 0.5× 243 1.2× 335 1.9× 195 1.1× 36 1.4k
Richard C. Chou United States 16 347 0.8× 213 0.8× 119 0.6× 457 2.6× 37 0.2× 29 1.2k
Marion Wiesnet Germany 13 981 2.3× 127 0.5× 242 1.2× 282 1.6× 66 0.4× 17 1.5k
Paul Frohna United States 17 403 1.0× 107 0.4× 62 0.3× 263 1.5× 125 0.7× 47 1.3k

Countries citing papers authored by Min Han

Since Specialization
Citations

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

Fields of papers citing papers by Min Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Han

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

All Works

20 of 20 papers shown
1.
Zhang, Lichao, Xu Peng, Meng Zhang, et al.. (2025). Genome-wide identification of the bHLH gene family in Scutellaria baicalensis and their relationship with baicalin biosynthesis under drought stress. Frontiers in Plant Science. 15. 1506805–1506805. 1 indexed citations
2.
Fan, Fang, Daniel Schmolze, Javier Arias‐Stella, et al.. (2025). Solid basaloid adenoid cystic carcinoma of the breast: A high-grade triple negative breast carcinoma which rarely responds to neoadjuvant chemotherapy. Human Pathology. 157. 105760–105760. 1 indexed citations
3.
4.
5.
Landman, Jaime, et al.. (2023). The success rate of small renal mass core needle biopsy and its impact on lowering benign resection rate. BMC Urology. 23(1). 189–189. 1 indexed citations
6.
Han, Min, et al.. (2021). Diagnostic Utility of LEF1 Immunostain in Cytology Specimens of Solid Pseudopapillary Neoplasm of Pancreas. Acta Cytologica. 65(3). 250–256. 3 indexed citations
7.
Xing, Juan, Min Han, Sara E. Monaco, et al.. (2020). An institutional experience evaluating hTERT immunostaining in 100 consecutive ThinPrep urine specimens. Journal of the American Society of Cytopathology. 10(1). 88–93. 2 indexed citations
8.
Han, Min, et al.. (2020). Touch preparation for rapid onsite evaluations of renal mass biopsies: concordance rate, pearls, and pitfalls. Journal of the American Society of Cytopathology. 9(5). 422–428. 4 indexed citations
9.
Han, Min, Li Zhu, Huina Zhang, et al.. (2019). Metaplastic breast carcinoma: a clinical-pathologic study of 97 cases with subset analysis of response to neoadjuvant chemotherapy. Modern Pathology. 32(6). 807–816. 54 indexed citations
10.
DeMarshall, Cassandra, Eric P. Nagele, Abhirup Sarkar, et al.. (2016). Detection of Alzheimer's disease at mild cognitive impairment and disease progression using autoantibodies as blood‐based biomarkers. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 3(1). 51–62. 64 indexed citations
11.
DeMarshall, Cassandra, Min Han, Eric P. Nagele, et al.. (2015). Potential utility of autoantibodies as blood-based biomarkers for early detection and diagnosis of Parkinson’s disease. Immunology Letters. 168(1). 80–88. 32 indexed citations
12.
Han, Min, et al.. (2014). Neurofibromatosis 1 vasculopathy manifesting as a peripheral aneurysm in an adolescent. Pediatric Radiology. 44(10). 1328–1331. 6 indexed citations
13.
Nagele, Eric P., Min Han, Nimish K. Acharya, et al.. (2013). Natural IgG Autoantibodies Are Abundant and Ubiquitous in Human Sera, and Their Number Is Influenced By Age, Gender, and Disease. PLoS ONE. 8(4). e60726–e60726. 228 indexed citations
14.
Han, Min, Eric P. Nagele, Cassandra DeMarshall, Nimish K. Acharya, & Robert G. Nagele. (2012). Diagnosis of Parkinson's Disease Based on Disease-Specific Autoantibody Profiles in Human Sera. PLoS ONE. 7(2). e32383–e32383. 135 indexed citations
15.
Krishnan, Harini, Yongquan Shen, Nimish K. Acharya, et al.. (2012). Plant Lectin Can Target Receptors Containing Sialic Acid, Exemplified by Podoplanin, to Inhibit Transformed Cell Growth and Migration. PLoS ONE. 7(7). e41845–e41845. 59 indexed citations
16.
Nagele, Robert G., Peter Clifford, Eli C. Levin, et al.. (2011). Brain-Reactive Autoantibodies Prevalent in Human Sera Increase Intraneuronal Amyloid-β1-42 Deposition. Journal of Alzheimer s Disease. 25(4). 605–622. 58 indexed citations
17.
Nagele, Eric P., Min Han, Cassandra DeMarshall, Benjamin A. Belinka, & Robert G. Nagele. (2011). Diagnosis of Alzheimer's Disease Based on Disease-Specific Autoantibody Profiles in Human Sera. PLoS ONE. 6(8). e23112–e23112. 106 indexed citations
18.
Han, Min, et al.. (2010). Variation of Human papillomavirus 16 in cervical and lung cancers in Sichuan, China. Acta Virologica. 54(4). 247–253. 13 indexed citations
19.
Han, Min, Jae Sik Kim, & Bong Suk Shim. (2005). Analysis of the Risk Factors Related to Progression of Chronic Prostatitis. Korean Journal of Urology. 46(10). 1040–1045. 2 indexed citations
20.
Choi, Byung Ihn, et al.. (1989). Biliary cystadenoma and cystadenocarcinoma: CT and sonographic findings.. Radiology. 171(1). 57–61. 92 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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