Ross S. Basch

3.5k total citations
91 papers, 2.8k citations indexed

About

Ross S. Basch is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ross S. Basch has authored 91 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 34 papers in Immunology and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ross S. Basch's work include Monoclonal and Polyclonal Antibodies Research (18 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (10 papers). Ross S. Basch is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (10 papers). Ross S. Basch collaborates with scholars based in United States, Switzerland and China. Ross S. Basch's co-authors include J L Kadish, Joan W. Berman, Gideon Goldstein, Simon Karpatkin, Xinmin Zhang, Claudio Basilico, Sagrario Ortega, David L. Miller, Chandler A. Stetson and Yao-Qi Huang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Ross S. Basch

90 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ross S. Basch United States	32	1.1k	924	534	355	353	91	2.8k
C. Zurcher Netherlands	29	922 0.8×	560 0.6×	514 1.0×	655 1.8×	400 1.1×	91	2.7k
M. Laurie Phillips United States	21	1.7k 1.5×	1.1k 1.2×	366 0.7×	224 0.6×	494 1.4×	47	3.3k
R. Auerbach United States	26	1.4k 1.3×	684 0.7×	332 0.6×	467 1.3×	275 0.8×	64	3.1k
G Chi-Rosso United States	22	1.5k 1.3×	1.6k 1.7×	608 1.1×	337 0.9×	785 2.2×	27	4.2k
Hitoshi Kohsaka Japan	36	1.2k 1.1×	1.5k 1.7×	322 0.6×	586 1.7×	292 0.8×	158	4.0k
John Apgar United States	23	1.5k 1.3×	1.9k 2.1×	164 0.3×	398 1.1×	276 0.8×	38	3.2k
Katherine Siminovitch Canada	26	917 0.8×	1.0k 1.1×	243 0.5×	331 0.9×	263 0.7×	49	3.5k
Nicolaas H. C. Brons Luxembourg	25	701 0.6×	691 0.7×	303 0.6×	566 1.6×	136 0.4×	56	2.1k
Rosalba Sacca United States	16	1.1k 1.0×	1.5k 1.6×	283 0.5×	615 1.7×	209 0.6×	25	2.9k
Thomas G. Diacovo United States	33	1.1k 1.0×	1.3k 1.4×	1.0k 2.0×	517 1.5×	116 0.3×	53	3.5k

Countries citing papers authored by Ross S. Basch

Since Specialization

Citations

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

Fields of papers citing papers by Ross S. Basch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross S. Basch. 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 Ross S. Basch. The network helps show where Ross S. Basch may publish in the future.

Co-authorship network of co-authors of Ross S. Basch

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

All Works

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20 of 20 papers shown

Dolin, Cara D., Michael K. Chan, Ross S. Basch, & Bruce K. Young. (2018). Human term amniotic fluid: a novel source of stem cells for regenerative medicine. American Journal of Obstetrics and Gynecology. 219(3). 308–309. 7 indexed citations

Chan, Michael K., et al.. (2016). Effects of Pharmacological Agents on Human Amniotic Fluid-Derived Stem Cells in Culture. Stem Cells and Development. 25(20). 1570–1579. 2 indexed citations

Basch, Ross S., et al.. (2016). Human amniotic fluid: a source of stem cells for possible therapeutic use. American Journal of Obstetrics and Gynecology. 214(3). 321–327. 28 indexed citations

Daniels, Garrett, Yi‐Rong Li, Lan L. Gellert, et al.. (2013). TBLR1 as an androgen receptor (AR) coactivator selectively activates AR target genes to inhibit prostate cancer growth. Endocrine Related Cancer. 21(1). 127–142. 33 indexed citations

Zhang, Xinmin, et al.. (2006). TBLR1 regulates the expression of nuclear hormone receptor co-repressors. BMC Cell Biology. 7(1). 31–31. 37 indexed citations

Zhang, Xinmin, et al.. (2001). Immortalized Multipotential Mesenchymal Cells and the Hematopoietic Microenvironment. Journal of Hematotherapy & Stem Cell Research. 10(1). 125–140. 119 indexed citations

Zhang, Xinmin, et al.. (2000). mVH1, a dual-specificity phosphatase whose expression is cell cycle regulated. Mammalian Genome. 11(12). 1154–1156. 9 indexed citations

Zhang, Xinmin, et al.. (2000). Identification of four human cDNAs that are differentially expressed by early hematopoietic progenitors. Experimental Hematology. 28(11). 1286–1296. 28 indexed citations

Basch, Ross S., et al.. (1999). Expression of CD41 and c‐mpl does not indicate commitment to the megakaryocyte lineage during haemopoietic development. British Journal of Haematology. 105(4). 1044–1054. 13 indexed citations

10.

Hirst, John A., et al.. (1998). Complementary and antagonistic effects of IL‐3 in the early development of human megakaryocytes in culture. British Journal of Haematology. 100(2). 415–426. 18 indexed citations

11.

Basch, Ross S., et al.. (1996). The development of human megakaryocytes. II. CD4 expression occurs during haemopoietic differentiation and is an early step in megakaryocyte maturation. British Journal of Haematology. 94(3). 433–442. 11 indexed citations

12.

Basch, Ross S., et al.. (1995). Flow cytometric determination of apoptosis in heterogeneous cell populations. Journal of Immunological Methods. 180(1). 131–140. 20 indexed citations

13.

Rao, T. Dharma, Azzam A. Maghazachi, Ana Maria Caetano Faria, Ross S. Basch, & Julia M. Phillips‐Quagliata. (1992). T560: an (H-2_b × H-2_a) F¹ hybrid, phosphorylcholine (PC)-binding, murine B cell lymphoma that bears receptors for lgA and lgG, Presents antigen and secretes IL-4. International Immunology. 4(2). 107–118. 5 indexed citations

14.

Brown, Kathryn M., et al.. (1991). Thymic stromal cells in culture. Cellular Immunology. 138(2). 473–481. 1 indexed citations

15.

Brown, Kathryn M., et al.. (1991). Thymic stromal cells in culture. Cellular Immunology. 134(2). 442–457. 4 indexed citations

16.

Basch, Ross S., et al.. (1989). L3T4 antigen expression by hemopoietic precursor cells.. The Journal of Experimental Medicine. 169(4). 1473–1478. 65 indexed citations

17.

Sunshine, Geoffrey H., et al.. (1978). Thymopoietin Enhances the Allogeneic Response and Cyclic GMP Levels of Mouse Peripheral, Thymus-Derived Lymphocytes. The Journal of Immunology. 120(5). 1594–1599. 73 indexed citations

18.

Basch, Ross S. & J L Kadish. (1977). Hematopoietic thymocyte precursors: II. Properties of the precursors.. The Journal of Experimental Medicine. 145(2). 405–419. 74 indexed citations

19.

Kadish, J L & Ross S. Basch. (1976). Hematopoietic thymocyte precursors. I. Assay and kinetics of the appearance of progeny.. The Journal of Experimental Medicine. 143(5). 1082–1099. 133 indexed citations

20.

Basch, Ross S.. (1975). Peripheral lymphocytes bearing tl antigens.. The Mouseion at the JAXlibrary (Jackson Laboratory). 1 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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