Qiqin Yin-Goen

2.9k total citations · 1 hit paper
14 papers, 2.4k citations indexed

About

Qiqin Yin-Goen is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qiqin Yin-Goen has authored 14 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qiqin Yin-Goen's work include Renal cell carcinoma treatment (6 papers), Cancer Genomics and Diagnostics (5 papers) and Gene expression and cancer classification (5 papers). Qiqin Yin-Goen is often cited by papers focused on Renal cell carcinoma treatment (6 papers), Cancer Genomics and Diagnostics (5 papers) and Gene expression and cancer classification (5 papers). Qiqin Yin-Goen collaborates with scholars based in United States, India and China. Qiqin Yin-Goen's co-authors include Andrew N. Young, May D. Wang, Georgia Z. Chen, Ximei Qian, Dominic O. Ansari, Shuming Nie, Xianghong Peng, Dong M. Shin, Lily Yang and C. M. S. Cohen and has published in prestigious journals such as Nature Biotechnology, Oncogene and American Journal Of Pathology.

In The Last Decade

Qiqin Yin-Goen

14 papers receiving 2.4k 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 vivo tumor targeting and spectroscopic detection with surface-enhanced Raman nanoparticle tags

2007 1.8k citations Ximei Qian, Xianghong Peng et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qiqin Yin-Goen United States	11	1.2k	1.1k	983	589	322	14	2.4k
Georgia Z. Chen United States	12	1.2k 1.0×	1.8k 1.6×	1.1k 1.1×	600 1.0×	417 1.3×	18	3.3k
Alexeï Grichine France	32	376 0.3×	862 0.8×	631 0.6×	1.3k 2.2×	197 0.6×	75	3.0k
Dustin J. Maxwell United States	12	562 0.5×	1.7k 1.5×	1.1k 1.1×	1.6k 2.7×	110 0.3×	17	3.3k
Zihou Li China	24	294 0.2×	627 0.6×	1.3k 1.3×	794 1.3×	71 0.2×	44	2.1k
Lichao Su China	34	340 0.3×	817 0.7×	2.2k 2.3×	1.3k 2.2×	90 0.3×	83	3.2k
Shrey Sindhwani Canada	19	210 0.2×	1.0k 0.9×	1.7k 1.8×	579 1.0×	105 0.3×	23	3.0k
Frank Peale United States	6	219 0.2×	1.3k 1.1×	599 0.6×	1.4k 2.4×	55 0.2×	11	2.3k
Benjamin R. Kingston Canada	15	213 0.2×	1.3k 1.1×	1.8k 1.8×	608 1.0×	74 0.2×	18	3.3k
Xingya Jiang United States	17	449 0.4×	803 0.7×	829 0.8×	1.0k 1.7×	22 0.1×	28	2.4k

Countries citing papers authored by Qiqin Yin-Goen

Since Specialization

Citations

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

Fields of papers citing papers by Qiqin Yin-Goen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiqin Yin-Goen. 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 Qiqin Yin-Goen. The network helps show where Qiqin Yin-Goen may publish in the future.

Co-authorship network of co-authors of Qiqin Yin-Goen

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

All Works

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14 of 14 papers shown

Fisher, Kevin E., Qiqin Yin-Goen, Joseph S. Sirintrapun, et al.. (2013). Gene expression profiling of clear cell papillary renal cell carcinoma: comparison with clear cell renal cell carcinoma and papillary renal cell carcinoma. Modern Pathology. 27(2). 222–230. 33 indexed citations

Moffitt, Andrea B., Qiqin Yin-Goen, Todd H. Stokes, et al.. (2011). caCORRECT2: Improving the accuracy and reliability of microarray data in the presence of artifacts. BMC Bioinformatics. 12(1). 383–383. 14 indexed citations

Yin-Goen, Qiqin, Timothy V. Johnson, Wei Han, et al.. (2010). Expression of C-reactive protein and cyclooxygenase enzyme-2 in clear cell renal cell carcinoma: correlation with pathological parameters in 110 patients. Tumor Biology. 32(2). 375–380. 5 indexed citations

Osunkoya, Adeboye O., Qiqin Yin-Goen, John H. Phan, et al.. (2009). Diagnostic biomarkers for renal cell carcinoma: selection using novel bioinformatics systems for microarray data analysis. Human Pathology. 40(12). 1671–1678. 18 indexed citations

Phan, John H., Qiqin Yin-Goen, Andrew N. Young, & May D. Wang. (2009). Emerging translational bioinformatics: Knowledge-guided biomarker identification for cancer diagnostics. PubMed. 11. 4162–4165. 1 indexed citations

Phan, John H., Qiqin Yin-Goen, Andrew N. Young, & May D. Wang. (2008). IMPROVING THE EFFICIENCY OF BIOMARKER IDENTIFICATION USING BIOLOGICAL KNOWLEDGE. PubMed. 427–438. 10 indexed citations

Cohen, C. M. S., Mahul B. Amin, Maria M. Picken, et al.. (2007). Claudin-7 Immunohistochemistry in Renal Tumors: A Candidate Marker for Chromophobe Renal Cell Carcinoma Identified by Gene Expression Profiling. Archives of Pathology & Laboratory Medicine. 131(10). 1541–1546. 37 indexed citations

Qian, Ximei, Xianghong Peng, Dominic O. Ansari, et al.. (2007). In vivo tumor targeting and spectroscopic detection with surface-enhanced Raman nanoparticle tags. Nature Biotechnology. 26(1). 83–90. 1812 indexed citations breakdown →

Arnold, Rebecca S., Ju He, Andrea Remo, et al.. (2007). Nox1 Expression Determines Cellular Reactive Oxygen and Modulates c-fos-Induced Growth Factor, Interleukin-8, and Cav-1. American Journal Of Pathology. 171(6). 2021–2032. 42 indexed citations

10.

Young, Andrew N., Jennifer Dale, Qiqin Yin-Goen, et al.. (2006). Current trends in molecular classification of adult renal tumors. Urology. 67(5). 873–880. 18 indexed citations

11.

Yin-Goen, Qiqin, Jennifer Dale, Jessica M. Phan, et al.. (2006). Advances in molecular classification of renal neoplasms.. PubMed. 21(3). 325–39. 22 indexed citations

12.

Ramachandran, Sumathi, Pengbo Liu, Andrew N. Young, et al.. (2005). Loss of HOXC6 expression induces apoptosis in prostate cancer cells. Oncogene. 24(1). 188–198. 84 indexed citations

13.

Schuetz, Audrey N., Qiqin Yin-Goen, Mohammed A. Amin, et al.. (2005). Molecular Classification of Renal Tumors by Gene Expression Profiling. Journal of Molecular Diagnostics. 7(2). 206–218. 103 indexed citations

14.

Choi, William W.L., Melinda M. Lewis, Diane Lawson, et al.. (2004). Angiogenic and lymphangiogenic microvessel density in breast carcinoma: correlation with clinicopathologic parameters and VEGF-family gene expression. Modern Pathology. 18(1). 143–152. 194 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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