James Schuman

514 total citations
9 papers, 422 citations indexed

About

James Schuman is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, James Schuman has authored 9 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in James Schuman's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and NF-κB Signaling Pathways (2 papers). James Schuman is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and NF-κB Signaling Pathways (2 papers). James Schuman collaborates with scholars based in United States and China. James Schuman's co-authors include Renren Wen, Demin Wang, Yuhong Chen, Shoua Yang, Guoping Fu, Mei Yu, Yuhong Chen, Taolin Yi, Gen‐Sheng Feng and Eric Erquan Zhang and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

James Schuman

9 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Schuman United States	9	247	229	111	76	28	9	422
Prathyusha Gudapati United States	5	383 1.6×	289 1.3×	132 1.2×	51 0.7×	25 0.9×	10	594
André A. F. L. van Puijenbroek United States	9	334 1.4×	228 1.0×	176 1.6×	71 0.9×	11 0.4×	12	573
Sonia Brockway United States	7	167 0.7×	300 1.3×	171 1.5×	91 1.2×	22 0.8×	8	472
G Preston United Kingdom	5	295 1.2×	223 1.0×	137 1.2×	51 0.7×	19 0.7×	6	473
Sohyun Yun South Korea	11	284 1.1×	251 1.1×	80 0.7×	125 1.6×	16 0.6×	15	518
Alexandre K. Rouquette‐Jazdanian France	12	216 0.9×	260 1.1×	78 0.7×	75 1.0×	29 1.0×	14	464
Wei-ping Zheng United States	6	175 0.7×	210 0.9×	101 0.9×	51 0.7×	12 0.4×	10	389
Dávid Medgyesi Hungary	12	203 0.8×	224 1.0×	52 0.5×	35 0.5×	13 0.5×	18	419
Danielle A. Chisolm United States	8	238 1.0×	135 0.6×	67 0.6×	52 0.7×	21 0.8×	9	386
Sabrina Klotz Germany	4	243 1.0×	251 1.1×	115 1.0×	76 1.0×	25 0.9×	4	547

Countries citing papers authored by James Schuman

Since Specialization

Citations

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

Fields of papers citing papers by James Schuman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Schuman

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

All Works

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9 of 9 papers shown

1.

Kim, Minsu, Steven Blinka, Karl Stamm, et al.. (2015). Activin-A and Bmp4 Levels Modulate Cell Type Specification during CHIR-Induced Cardiomyogenesis. PLoS ONE. 10(2). e0118670–e0118670. 28 indexed citations

2.

Fu, Guoping, Yuhong Chen, James Schuman, Demin Wang, & Renren Wen. (2012). Phospholipase Cγ2 Plays a Role in TCR Signal Transduction and T Cell Selection. The Journal of Immunology. 189(5). 2326–2332. 20 indexed citations

3.

Fu, Guoping, Yuhong Chen, Mei Yu, et al.. (2010). Phospholipase Cγ1 is essential for T cell development, activation, and tolerance. The Journal of Experimental Medicine. 207(2). 309–318. 102 indexed citations

4.

Schuman, James, Yuhong Chen, Andrew Podd, et al.. (2009). A critical role of TAK1 in B-cell receptor–mediated nuclear factor κB activation. Blood. 113(19). 4566–4574. 67 indexed citations

5.

Wen, Renren, Yuhong Chen, Li Bai, et al.. (2006). Essential Role of Phospholipase Cγ2 in Early B-Cell Development and Myc-Mediated Lymphomagenesis. Molecular and Cellular Biology. 26(24). 9364–9376. 28 indexed citations

6.

Dai, Xuezhi, Yuhong Chen, James Schuman, et al.. (2005). Distinct Roles of Phosphoinositide-3 Kinase and Phospholipase Cγ2 in B-Cell Receptor-Mediated Signal Transduction. Molecular and Cellular Biology. 26(1). 88–99. 12 indexed citations

7.

Wen, Renren, Yu‐Hong Chen, James Schuman, et al.. (2004). An important role of phospholipase Cγ1 in pre‐B‐cell development and allelic exclusion. The EMBO Journal. 23(20). 4007–4017. 33 indexed citations

8.

Wen, Renren, Yuhong Chen, Liquan Xue, et al.. (2003). Phospholipase Cγ2 Provides Survival Signals via Bcl2 and A1 in Different Subpopulations of B Cells. Journal of Biological Chemistry. 278(44). 43654–43662. 36 indexed citations

9.

Chen, Yuhong, Renren Wen, Shoua Yang, et al.. (2003). Identification of Shp-2 as a Stat5A Phosphatase. Journal of Biological Chemistry. 278(19). 16520–16527. 96 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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