Pi-Chen Yam

416 total citations
10 papers, 302 citations indexed

About

Pi-Chen Yam is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Pi-Chen Yam has authored 10 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in Pi-Chen Yam's work include Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Pi-Chen Yam is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Pi-Chen Yam collaborates with scholars based in United States. Pi-Chen Yam's co-authors include Katherine L. Knight, H Spieker-Polet, Shi-Kang Zhai, C.S. Raman, Zarema Arbieva, M Kingzette, K L Knight, Herman Polet, Periannan Sethupathi and Chainarong Tunyaplin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and International Immunology.

In The Last Decade

Pi-Chen Yam

10 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pi-Chen Yam United States	8	173	138	123	35	25	10	302
А. Г. Габибов Russia	10	160 0.9×	101 0.7×	150 1.2×	40 1.1×	16 0.6×	30	332
James M. Stattel United States	4	241 1.4×	72 0.5×	162 1.3×	45 1.3×	12 0.5×	6	356
C Samarut France	13	197 1.1×	240 1.7×	130 1.1×	27 0.8×	38 1.5×	17	448
C N Baxevanis Germany	11	74 0.4×	263 1.9×	110 0.9×	30 0.9×	54 2.2×	14	365
Pamela P. Brauer United States	8	108 0.6×	211 1.5×	87 0.7×	47 1.3×	58 2.3×	9	360
Brendan Roome Australia	6	118 0.7×	181 1.3×	124 1.0×	33 0.9×	37 1.5×	6	332
M. Moser Austria	10	230 1.3×	195 1.4×	53 0.4×	38 1.1×	85 3.4×	15	423
Latham Claflin United States	12	161 0.9×	208 1.5×	147 1.2×	22 0.6×	20 0.8×	14	363
Auk S. Wubbena Netherlands	8	54 0.3×	320 2.3×	88 0.7×	40 1.1×	24 1.0×	8	379
Joseph Couto United States	9	429 2.5×	151 1.1×	81 0.7×	26 0.7×	40 1.6×	20	574

Countries citing papers authored by Pi-Chen Yam

Since Specialization

Citations

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

Fields of papers citing papers by Pi-Chen Yam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pi-Chen Yam. 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 Pi-Chen Yam. The network helps show where Pi-Chen Yam may publish in the future.

Co-authorship network of co-authors of Pi-Chen Yam

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

All Works

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10 of 10 papers shown

Yam, Pi-Chen & Katherine L. Knight. (2014). Generation of Rabbit Monoclonal Antibodies. Methods in molecular biology. 1131. 71–79. 5 indexed citations

Yam, Pi-Chen, et al.. (2005). A negative regulatory element in the rabbit 3′IgH chromosomal region. International Immunology. 17(8). 973–982. 4 indexed citations

Spieker-Polet, H, Pi-Chen Yam, & Katherine L. Knight. (2002). Functional Analysis of Iα Promoter Regions of Multiple IgA Heavy Chain Genes. The Journal of Immunology. 168(7). 3360–3368. 9 indexed citations

Spieker-Polet, H, Pi-Chen Yam, Zarema Arbieva, Shi-Kang Zhai, & Katherine L. Knight. (1999). In Vitro Induction of the Expression of Multiple IgA Isotype Genes in Rabbit B Cells by TGF-β and IL-2. The Journal of Immunology. 162(9). 5380–5388. 15 indexed citations

Spieker-Polet, H, et al.. (1999). In vitro induction of the expression of multiple IgA isotype genes in rabbit B cells by TGF-beta and IL-2.. PubMed. 162(9). 5380–8. 14 indexed citations

Kingzette, M, H Spieker-Polet, Pi-Chen Yam, Shi-Kang Zhai, & Katherine L. Knight. (1998). Trans-chromosomal recombination within the Ig heavy chain switch region in B lymphocytes. Proceedings of the National Academy of Sciences. 95(20). 11840–11845. 30 indexed citations

Spieker-Polet, H, et al.. (1995). Rabbit monoclonal antibodies: generating a fusion partner to produce rabbit-rabbit hybridomas.. Proceedings of the National Academy of Sciences. 92(20). 9348–9352. 152 indexed citations

Sethupathi, Periannan, H Spieker-Polet, Herman Polet, et al.. (1994). Lymphoid and non-lymphoid tumors in E kappa-myc transgenic rabbits.. PubMed. 8(12). 2144–55. 12 indexed citations

Raman, C.S., H Spieker-Polet, Pi-Chen Yam, & Katherine L. Knight. (1994). Preferential VH gene usage in rabbit Ig-secreting heterohybridomas.. The Journal of Immunology. 152(8). 3935–3945. 26 indexed citations

10.

Spieker-Polet, H, Pi-Chen Yam, & Katherine L. Knight. (1993). Differential expression of 13 IgA-heavy chain genes in rabbit lymphoid tissues. The Journal of Immunology. 150(12). 5457–5465. 35 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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