J Woodliff

534 total citations
10 papers, 440 citations indexed

About

J Woodliff is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, J Woodliff has authored 10 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Immunology. Recurrent topics in J Woodliff's work include Glycosylation and Glycoproteins Research (4 papers), Multiple Myeloma Research and Treatments (4 papers) and T-cell and B-cell Immunology (3 papers). J Woodliff is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Multiple Myeloma Research and Treatments (4 papers) and T-cell and B-cell Immunology (3 papers). J Woodliff collaborates with scholars based in United States, Italy and India. J Woodliff's co-authors include Hironobu Hata, Joshua Epstein, Hong Xiao, R. D. Sanderson, Ryan J. A. Chang, MT Petrucci, John C. Hiserodt, Maurizio Chiriva‐Internati, Alessandro D. Santin and S. Pecorelli and has published in prestigious journals such as Blood, Journal of Allergy and Clinical Immunology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

J Woodliff

10 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J Woodliff United States	6	197	172	152	121	91	10	440
Randy Hurley United States	10	367 1.9×	123 0.7×	104 0.7×	122 1.0×	63 0.7×	11	588
Cosette Rebouissou France	15	107 0.5×	300 1.7×	187 1.2×	190 1.6×	57 0.6×	21	581
AR Belch Canada	8	272 1.4×	207 1.2×	110 0.7×	122 1.0×	67 0.7×	12	425
B L Nuccie United States	9	200 1.0×	154 0.9×	93 0.6×	271 2.2×	40 0.4×	9	575
Jens Grosse Germany	11	85 0.4×	139 0.8×	218 1.4×	255 2.1×	56 0.6×	19	443
NK Cheung United States	9	172 0.9×	200 1.2×	168 1.1×	229 1.9×	27 0.3×	13	597
Tsutomu Yoneda Japan	10	50 0.3×	184 1.1×	106 0.7×	74 0.6×	48 0.5×	22	391
Saul J. Sharkis United States	6	384 1.9×	283 1.6×	178 1.2×	183 1.5×	62 0.7×	6	703
Naoyuki Anzai Japan	13	128 0.6×	216 1.3×	131 0.9×	226 1.9×	33 0.4×	24	487
Craig D. Milne Canada	10	116 0.6×	168 1.0×	78 0.5×	238 2.0×	23 0.3×	12	503

Countries citing papers authored by J Woodliff

Since Specialization

Citations

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

Fields of papers citing papers by J Woodliff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Woodliff

This figure shows the co-authorship network connecting the top 25 collaborators of J Woodliff. A scholar is included among the top collaborators of J Woodliff 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 J Woodliff. J Woodliff 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

Verbsky, James, Mary Hintermeyer, Pippa Simpson, et al.. (2020). Rituximab and antimetabolite treatment of granulomatous and lymphocytic interstitial lung disease in common variable immunodeficiency. Journal of Allergy and Clinical Immunology. 147(2). 704–712.e17. 36 indexed citations

Stewart, Kara R, et al.. (2016). Effect of natural betaine on estimates of semen quality in mature AI boars during summer heat stress. Animal Reproduction Science. 170. 25–37. 29 indexed citations

Stewart, Kara R, et al.. (2016). 262 Effect of natural betaine on estimates of semen quality in mature AI boars during summer heat stress. Journal of Animal Science. 94(suppl_2). 124–124. 1 indexed citations

Woodliff, J, Carolyn Taylor, Daniel C. Douek, et al.. (2004). Early production of donor-derived CD4+ CD25+ regulatory T cells in patients given hematopoietic stem cell transplants. Biology of Blood and Marrow Transplantation. 10. 25–25. 1 indexed citations

Santin, Alessandro D., Paul L. Hermonat, John C. Hiserodt, et al.. (1997). Effects of irradiation on the expression of major histocompatibility complex class I antigen and adhesion costimulation molecules ICAM-1 in human cervical cancer. International Journal of Radiation Oncology*Biology*Physics. 39(3). 737–742. 55 indexed citations

Santin, Alessandro D., Paul L. Hermonat, John C. Hiserodt, et al.. (1997). Expression and cytokine mediated modulation of adhesion/costimulation molecules ICAM-1(CD54) and LFA-3(CD58) in human ovarian cancer. International Journal of Gynecological Cancer. 7(4). 273–278. 1 indexed citations

Xiao, Hong, et al.. (1993). Expression of syndecan regulates human myeloma plasma cell adhesion to type I collagen. Blood. 81(3). 767–774. 187 indexed citations

Hata, Hironobu, Hong Xiao, MT Petrucci, et al.. (1993). Interleukin-6 gene expression in multiple myeloma: a characteristic of immature tumor cells. Blood. 81(12). 3357–3364. 6 indexed citations

Hata, Hironobu, Hong Xiao, MT Petrucci, et al.. (1993). Interleukin-6 gene expression in multiple myeloma: a characteristic of immature tumor cells. Blood. 81(12). 3357–3364. 120 indexed citations

10.

Xiao, Hong, et al.. (1993). Expression of syndecan regulates human myeloma plasma cell adhesion to type I collagen. Blood. 81(3). 767–774. 4 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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