David Porter

29.4k total citations · 5 hit papers
342 papers, 18.3k citations indexed

About

David Porter is a scholar working on Hematology, Materials Chemistry and Oncology. According to data from OpenAlex, David Porter has authored 342 papers receiving a total of 18.3k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Hematology, 92 papers in Materials Chemistry and 67 papers in Oncology. Recurrent topics in David Porter's work include Hematopoietic Stem Cell Transplantation (81 papers), Nuclear Materials and Properties (59 papers) and Nuclear reactor physics and engineering (51 papers). David Porter is often cited by papers focused on Hematopoietic Stem Cell Transplantation (81 papers), Nuclear Materials and Properties (59 papers) and Nuclear reactor physics and engineering (51 papers). David Porter collaborates with scholars based in United States, United Kingdom and China. David Porter's co-authors include Fritz Vollrath, Stephan A. Grupp, A. H. Heuer, Carl H. June, Chrystal U. Louis, Daniel W. Lee, Michael C. Jensen, Crystal L. Mackall, Rebecca Gardner and Nabil Ahmed and has published in prestigious journals such as New England Journal of Medicine, Advanced Materials and Journal of Clinical Investigation.

In The Last Decade

David Porter

326 papers receiving 17.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Current concepts in the diagnosis and management of cytokine release syndrome

2014 1.9k citations David Porter, Stephan A. Grupp et al. Blood profile →
Chimeric antigen receptor T cells persist and induce sustained remissions in relapsed refractory chronic lymphocytic leukemia

2015 1.3k citations David Porter, Noelle V. Frey et al. profile →
Donor leukocyte infusions in 140 patients with relapsed malignancy after allogeneic bone marrow transplantation.

1997 993 citations David Porter, Sergio Giralt et al. profile →
Antibody-modified T cells: CARs take the front seat for hematologic malignancies

2014 490 citations Stephan A. Grupp, David Porter et al. Blood profile →
Myeloablative Versus Reduced-Intensity Hematopoietic Cell Transplantation for Acute Myeloid Leukemia and Myelodysplastic Syndromes

2017 400 citations David Porter, Richard T. Maziarz et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Porter United States	69	6.3k	4.5k	3.8k	3.2k	2.8k	342	18.3k
Dominique Thierry France	60	782 0.1×	1.5k 0.3×	786 0.2×	1.2k 0.4×	1.5k 0.5×	339	13.7k
William T. Butler United States	76	1.2k 0.2×	425 0.1×	1.3k 0.3×	1.2k 0.4×	7.1k 2.5×	513	17.5k
Arnold I. Caplan United States	110	4.4k 0.7×	2.0k 0.5×	1.9k 0.5×	8.9k 2.8×	16.9k 6.0×	433	59.4k
Takashi Nakamura Japan	98	1.1k 0.2×	375 0.1×	1.6k 0.4×	4.5k 1.4×	2.6k 0.9×	810	35.9k
Chwee Teck Lim Singapore	105	2.9k 0.5×	403 0.1×	774 0.2×	9.2k 2.9×	5.7k 2.0×	578	43.9k
Paul A. Janmey United States	105	2.3k 0.4×	841 0.2×	1.9k 0.5×	5.5k 1.7×	14.1k 5.0×	430	47.0k
Georg N. Duda Germany	82	1.3k 0.2×	370 0.1×	969 0.3×	2.9k 0.9×	4.7k 1.7×	628	29.5k
Benjamin Geiger Israel	102	3.7k 0.6×	713 0.2×	2.3k 0.6×	2.6k 0.8×	18.8k 6.7×	342	43.4k
Pamela Gehron Robey United States	89	7.4k 1.2×	2.6k 0.6×	2.5k 0.6×	3.7k 1.2×	17.9k 6.4×	298	47.6k
Ranieri Cancedda Italy	79	1.6k 0.2×	701 0.2×	1.0k 0.3×	2.8k 0.9×	6.5k 2.3×	333	22.1k

Countries citing papers authored by David Porter

Since Specialization

Citations

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

Fields of papers citing papers by David Porter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Porter

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhao, Liang, et al.. (2025). Quantification of line dislocations in FFTF irradiated HT9 cladding by deep learning method. Materials Characterization. 227. 115322–115322.

Crawford, Douglas C. & David Porter. (2024). Applying U.S. metal fuel experience to new fuel designs for fast reactors. Progress in Nuclear Energy. 171. 105135–105135. 1 indexed citations

Gribok, Andrei, et al.. (2024). Qualification and Quantification of Porosity at the Top of the Fuel Pins in Metallic Fuels Using Image Processing. Energies. 17(9). 1990–1990.

Rojek, Alexandra E., Nausheen Ahmed, Sairah Ahmed, et al.. (2024). CAR T Cell Therapy in Early Relapsed/Refractory Large B-Cell Lymphoma: Real World Analysis from the Cell Therapy Consortium. Blood. 144(Supplement 1). 4503–4503.

Williamson, Staci, Jamie Brower, Veronika Bachanová, et al.. (2023). Prolonged Cytopenias after Commercial CAR T-Cell Therapy with Tisagenlecleucel and Axicabtagene Ciloleucel for Relapsed and Refractory DLBCL. Transplantation and Cellular Therapy. 29(2). S220–S221. 1 indexed citations

Dick, Gregory J., Andrew D. Gronewold, Sara Hughes, et al.. (2023). Leadership for the next generation of Great Lakes stewardship. Journal of Great Lakes Research. 49(5). 1211–1213. 2 indexed citations

Medvedev, Pavel, et al.. (2023). Fuel Performance Analysis of Fast Flux Test Facility MFF-3 and -5 Fuel Pins Using BISON with Post Irradiation Examination Data. Energies. 16(22). 7600–7600. 3 indexed citations

Lemma, Fidelma Giulia Di, Andrei Gribok, Pavel Medvedev, et al.. (2022). An analysis of fluff formation in metallic fuel via data analyzes from EBR-II experiments and BISON fuel code modeling. Journal of Nuclear Materials. 567. 153813–153813. 2 indexed citations

Tian, Yuanyuan, Lijun Meng, Ying Wang, et al.. (2020). Graft-versus-host disease depletes plasmacytoid dendritic cell progenitors to impair tolerance induction. Journal of Clinical Investigation. 131(1). 23 indexed citations

10.

Holland, Chris, Nicholas Hawkins, Martin Frydrych, et al.. (2018). Differential Scanning Calorimetry of Native Silk Feedstock. Macromolecular Bioscience. 19(3). e1800228–e1800228. 16 indexed citations

11.

Chen, Fangfang, David T. Teachey, Edward Pequignot, et al.. (2016). Measuring IL-6 and sIL-6R in serum from patients treated with tocilizumab and/or siltuximab following CAR T cell therapy. Journal of Immunological Methods. 434. 1–8. 141 indexed citations

12.

Porter, David, et al.. (2012). IBuoy: Expendable Echo Sounder Buoy with Satellite Data Telemetry. AGUFM. 2012. 1 indexed citations

13.

Chen, Fujia, David Porter, & Fritz Vollrath. (2012). Structure and physical properties of silkworm cocoons. Journal of The Royal Society Interface. 9(74). 2299–2308. 115 indexed citations

14.

Bishop, Michael, Edwin P. Alyea, Mitchell S. Cairo, et al.. (2011). National Cancer Institute’s First International Workshop on the Biology, Prevention, and Treatment of Relapse after Allogeneic Hematopoietic Stem Cell Transplantation: Summary and Recommendations from the Organizing Committee. Biology of Blood and Marrow Transplantation. 17(4). 443–454. 31 indexed citations

15.

Chen, Fujia, David Porter, & Fritz Vollrath. (2010). A Nonwoven Composite Model Based on Silkworm Cocoon (Bombyx MOri). Cailiao kexue yu gongcheng xuebao. 4(9). 28–33. 9 indexed citations

16.

Porter, David, Elizabeth O. Hexner, Sarah Cooley, & Jeffrey S. Miller. (2008). Cellular Adoptive Immunotherapy After Autologous and Allogeneic Hematopoietic Stem Cell Transplantation. Cancer treatment and research. 144. 497–537. 3 indexed citations

17.

Porter, David. (2001). The Graft-versus-Tumor Potential of Allogeneic Cell Therapy: An Update on Donor Leukocyte Infusions and Nonmyeloablative Allogeneic Stem Cell Transplantation. Journal of Hematotherapy & Stem Cell Research. 10(4). 465–480. 18 indexed citations

18.

Mathias, Clarissa, Rosemarie Mick, Stephen Grupp, et al.. (2000). Soluble Interleukin-2 Receptor Concentration As a Biochemical Indicator for Acute Graft-Versus-Host Disease After Allogeneic Bone Marrow Transplantation. Journal of Hematotherapy & Stem Cell Research. 9(3). 393–400. 26 indexed citations

19.

Nevasmaa, Pekka, et al.. (1996). Fracture Toughness Assessment And HAZ Strain-Ageing Resistance of Thermomechanically Processed Steel Subjected to Cold Forming Before Welding. The Proceedings of the ... International Offshore and Polar Engineering Conference. 4. 154–159. 2 indexed citations

20.

Porter, David, et al.. (1984). Dredging Permit, a Case History. 254–259. 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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