D Wierda

765 total citations
20 papers, 593 citations indexed

About

D Wierda is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, D Wierda has authored 20 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Hematology and 5 papers in Oncology. Recurrent topics in D Wierda's work include Hematopoietic Stem Cell Transplantation (4 papers), Bioactive Compounds and Antitumor Agents (3 papers) and Immunotoxicology and immune responses (3 papers). D Wierda is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Bioactive Compounds and Antitumor Agents (3 papers) and Immunotoxicology and immune responses (3 papers). D Wierda collaborates with scholars based in United States, United Kingdom and Sweden. D Wierda's co-authors include Kevin W. Gaido, Kenneth S. Landreth, Angela G. King, David Ross, Mark J. Reasor, David Siegel, Holly W. Smith, James Green, Thomas T. Kawabata and Gopi Shankar and has published in prestigious journals such as The Journal of Immunology, Journal of Pharmacology and Experimental Therapeutics and Molecular Pharmacology.

In The Last Decade

D Wierda

20 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D Wierda United States 10 247 220 131 122 71 20 593
Wayne S. Stillman United States 19 227 0.9× 335 1.5× 441 3.4× 36 0.3× 89 1.3× 37 940
Barbara Mounho United States 10 221 0.9× 210 1.0× 60 0.5× 143 1.2× 76 1.1× 12 484
Hiroki Hata Japan 15 138 0.6× 301 1.4× 85 0.6× 24 0.2× 169 2.4× 35 767
Mohamed H. Lareef United States 10 67 0.3× 267 1.2× 118 0.9× 12 0.1× 171 2.4× 15 584
J.C. Faye France 12 78 0.3× 263 1.2× 63 0.5× 29 0.2× 113 1.6× 25 667
E Frankus Germany 8 42 0.2× 282 1.3× 308 2.4× 28 0.2× 104 1.5× 21 773
Hairong Sang United States 8 185 0.7× 395 1.8× 58 0.4× 12 0.1× 95 1.3× 9 637
Leslie Hodges-Gallagher United States 15 55 0.2× 360 1.6× 84 0.6× 14 0.1× 189 2.7× 24 804
Mariarosa Perotti Italy 8 66 0.3× 268 1.2× 33 0.3× 63 0.5× 47 0.7× 16 495
Mamiko Miyamoto Japan 12 288 1.2× 564 2.6× 93 0.7× 7 0.1× 104 1.5× 16 931

Countries citing papers authored by D Wierda

Since Specialization
Citations

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

Fields of papers citing papers by D Wierda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Wierda

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

All Works

20 of 20 papers shown
1.
Schwartz, Jennifer A., J. de Saint Martin, Wenlei Zhang, et al.. (2016). P-C1 Full length single chain, a novel gp120-CD4 fusion HIV Subunit vaccine, does not cause a deleterious autoimmune CD4 response in cynomolgus macaques. JAIDS Journal of Acquired Immune Deficiency Syndromes. 71(Supplement 1). 89–89. 1 indexed citations
2.
Ponce, Rafael, Leslie W. Abad, Lakshmi Amaravadi, et al.. (2009). Immunogenicity of biologically-derived therapeutics: Assessment and interpretation of nonclinical safety studies. Regulatory Toxicology and Pharmacology. 54(2). 164–182. 179 indexed citations
3.
Wierda, D. (2000). Can host resistance assays be used to evaluate the immunotoxicity of pharmaceuticals?. Human & Experimental Toxicology. 19(4). 244–245. 1 indexed citations
4.
Black, Lauren E., Anthony D. Dayan, Joy Cavagnaro, et al.. (2000). Safety evaluation of immunomodulatory biopharmaceuticals: can we improve the predictive value of preclinical studies?. Human & Experimental Toxicology. 19(4). 205–207. 3 indexed citations
5.
Zwickl, Craig, et al.. (1996). Immunogenicity of Tissue Plasminogen Activators in Rhesus Monkeys: Antibody Formation and Effects on Blood Level and Enzymatic Activity. Toxicological Sciences. 30(2). 243–254. 2 indexed citations
6.
Zwickl, Craig, et al.. (1995). Immunogenicity of biosynthetic human LysPro insulin compared to native-sequence human and purified porcine insulins in rhesus monkeys immunized over a 6-week period.. PubMed. 45(4). 524–8. 14 indexed citations
7.
Updyke, Lawrence W., et al.. (1993). Mouse bone marrow stromal cells can accumulate and release cytotoxic concentrations of doxorubicin into the hematopoietic microenvironment. Europe PMC (PubMed Central). 6(4). 243–256. 2 indexed citations
8.
Zwickl, Craig, et al.. (1991). Comparison of the Immunogenicity of Recombinant and Pituitary Human Growth Hormone in Rhesus Monkeys. Toxicological Sciences. 16(2). 275–287. 2 indexed citations
9.
Subrahmanyam, Vangala V., et al.. (1990). Bone marrow stromal cell bioactivation and detoxification of the benzene metabolite hydroquinone: comparison of macrophages and fibroblastoid cells.. Molecular Pharmacology. 37(2). 255–262. 72 indexed citations
10.
11.
King, Angela G., Kenneth S. Landreth, & D Wierda. (1989). Bone marrow stromal cell regulation of B-lymphopoiesis. II. Mechanisms of hydroquinone inhibition of pre-B cell maturation.. Journal of Pharmacology and Experimental Therapeutics. 250(2). 582–590. 19 indexed citations
12.
King, Angela G., D Wierda, & Kenneth S. Landreth. (1988). Bone marrow stromal cell regulation of B-lymphopoiesis. I. The role of macrophages, IL-1, and IL-4 in pre-B cell maturation.. The Journal of Immunology. 141(6). 2016–2026. 53 indexed citations
13.
King, Angela G., Kenneth S. Landreth, & D Wierda. (1987). Hydroquinone inhibits bone marrow pre-B cell maturation in vitro.. Molecular Pharmacology. 32(6). 807–812. 22 indexed citations
14.
Gaido, Kevin W. & D Wierda. (1987). Suppression of bone marrow stromal cell function by benzene and hydroquinone is ameliorated by indomethacin. Toxicology and Applied Pharmacology. 89(3). 378–390. 57 indexed citations
15.
16.
Gaido, Kevin W. & D Wierda. (1984). In vitro effects of benzene metabolites on mouse bone marrow stromal cells. Toxicology and Applied Pharmacology. 76(1). 45–55. 51 indexed citations
17.
Wierda, D. (1984). Partial characterization of bone marrow hemopoiesis in mice after cisplatin administration. Toxicology and Applied Pharmacology. 75(1). 25–34. 3 indexed citations
18.
Wierda, D. (1981). Immunotoxicity in C57BL/6 mice exposed to benzene and Aroclor 1254*1. Toxicology and Applied Pharmacology. 60(3). 410–417. 60 indexed citations
19.
Wierda, D & Robert Irons. (1981). Reduction of progenitor b-lymphocytes in mice after hydroquinone and catechol administration. Abstr.. The Mouseion at the JAXlibrary (Jackson Laboratory). 6. 1 indexed citations
20.
Wierda, D & Thomas L. Pazdernik. (1979). Toxicity of platinum complexes on hemopoietic precursor cells.. Journal of Pharmacology and Experimental Therapeutics. 211(3). 531–538. 6 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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