David M. Dorfman

602 total citations
9 papers, 494 citations indexed

About

David M. Dorfman is a scholar working on Molecular Biology, Immunology and Dermatology. According to data from OpenAlex, David M. Dorfman has authored 9 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Dermatology. Recurrent topics in David M. Dorfman's work include Cutaneous lymphoproliferative disorders research (2 papers), Pregnancy and preeclampsia studies (1 paper) and Mast cells and histamine (1 paper). David M. Dorfman is often cited by papers focused on Cutaneous lymphoproliferative disorders research (2 papers), Pregnancy and preeclampsia studies (1 paper) and Mast cells and histamine (1 paper). David M. Dorfman collaborates with scholars based in United States, France and Denmark. David M. Dorfman's co-authors include Ken Halvorsen, Rohit Karnik, Cheryl H. Cui, Wesley P. Wong, Weian Zhao, Chong Shen, Grace Sock Leng Teo, Omid C. Farokhzad, Jeffrey M. Karp and Suman Bose and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and American Journal of Obstetrics and Gynecology.

In The Last Decade

David M. Dorfman

9 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Dorfman United States 7 252 155 69 68 54 9 494
Xixue Chen China 13 167 0.7× 135 0.9× 46 0.7× 68 1.0× 136 2.5× 35 590
Hiroko Okuno Japan 13 118 0.5× 32 0.2× 26 0.4× 78 1.1× 17 0.3× 24 383
Mohsen Sheykhhasan Iran 13 214 0.8× 45 0.3× 25 0.4× 186 2.7× 33 0.6× 35 557
Maximilian Schieck Germany 11 141 0.6× 55 0.4× 23 0.3× 44 0.6× 15 0.3× 23 413
Samuel Dulay Spain 8 100 0.4× 97 0.6× 38 0.6× 30 0.4× 16 0.3× 14 524
Vojtěch Kulvait Czechia 10 177 0.7× 66 0.4× 21 0.3× 60 0.9× 100 1.9× 27 427
Yuichi Hasegawa Japan 11 97 0.4× 57 0.4× 30 0.4× 155 2.3× 30 0.6× 35 463
Linda K. Han United States 14 94 0.4× 87 0.6× 22 0.3× 117 1.7× 27 0.5× 26 926
Martin Lorentzen Denmark 14 92 0.4× 85 0.5× 37 0.5× 92 1.4× 24 0.4× 22 629
Joya Sahu United States 11 103 0.4× 40 0.3× 205 3.0× 43 0.6× 9 0.2× 42 436

Countries citing papers authored by David M. Dorfman

Since Specialization
Citations

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

Fields of papers citing papers by David M. Dorfman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Dorfman. 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 David M. Dorfman. The network helps show where David M. Dorfman may publish in the future.

Co-authorship network of co-authors of David M. Dorfman

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

All Works

9 of 9 papers shown
1.
Rimsans, Jessica, Katelyn W. Sylvester, John Fanikos, et al.. (2019). Evaluation of Antifactor-Xa Heparin Assay and Activated Partial Thromboplastin Time Values in Patients on Therapeutic Continuous Infusion Unfractionated Heparin Therapy. Clinical and Applied Thrombosis/Hemostasis. 25. 2873274558–2873274558. 26 indexed citations
2.
Simmons, Daimon P., et al.. (2016). Lupus anticoagulant testing using two parallel methods detects additional cases and predicts persistent positivity. Clinical Chemistry and Laboratory Medicine (CCLM). 56(8). 1289–1296. 9 indexed citations
3.
Renneville, Aline, Peter van Galen, Matthew C. Canver, et al.. (2015). EHMT1 and EHMT2 inhibition induces fetal hemoglobin expression. Blood. 126(16). 1930–1939. 78 indexed citations
4.
Pashtan, Itai, Peter Mauch, Yu‐Hui Chen, et al.. (2012). Radiotherapy in the management of localized primary cutaneous B-cell lymphoma. Leukemia & lymphoma. 54(4). 726–730. 8 indexed citations
5.
Zhao, Weian, Cheryl H. Cui, Suman Bose, et al.. (2012). Bioinspired multivalent DNA network for capture and release of cells. Proceedings of the National Academy of Sciences. 109(48). 19626–19631. 253 indexed citations
6.
Buhimschi, Irina A., Lawrence C. Tsen, Joong Shin Park, et al.. (2004). Proteomic profiling of cerebrospinal fluid (CSF) in patients with severe preeclampsia (sPE) suggests subclinical microhemorrhage with functional consequences. American Journal of Obstetrics and Gynecology. 191(6). S32–S32. 1 indexed citations
7.
Becker, Joanne, Carlo Brugnara, William M. Canfield, et al.. (2004). Automated Flow Cytometric Analysis of Blood Cells in Cerebrospinal Fluid. American Journal of Clinical Pathology. 121(5). 690–700. 42 indexed citations
8.
Lü, Di, Madeleine Duvic, L. Jeffrey Medeiros, et al.. (2001). The T-Cell Chemokine Receptor CXCR3 Is Expressed Highly in Low-Grade Mycosis Fungoides. American Journal of Clinical Pathology. 115(3). 413–421. 71 indexed citations
9.
Matory, Yvedt L., David M. Dorfman, Man Chen, et al.. (1999). T Cells Mediate Treatment of Six-Day-Old Cytokine-Gene-Transfected Mouse Mammary Tumor. Pathobiology. 67(1). 3–11. 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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