Tom E. Howard

2.2k total citations · 1 hit paper
46 papers, 1.7k citations indexed

About

Tom E. Howard is a scholar working on Hematology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tom E. Howard has authored 46 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hematology, 15 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tom E. Howard's work include Hemophilia Treatment and Research (24 papers), Platelet Disorders and Treatments (12 papers) and Blood Coagulation and Thrombosis Mechanisms (9 papers). Tom E. Howard is often cited by papers focused on Hemophilia Treatment and Research (24 papers), Platelet Disorders and Treatments (12 papers) and Blood Coagulation and Thrombosis Mechanisms (9 papers). Tom E. Howard collaborates with scholars based in United States, Australia and Germany. Tom E. Howard's co-authors include Kenneth E. Bernstein, Mario R. Capecchi, Charles R. Esther, Shaw‐Yung Shai, Kimberly G. Langford, Elaine M. Marino, Judy M. Goddard, Paul A. Overbeek, Brian M. Martin and Eduardo L. Mariño and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Tom E. Howard

40 papers receiving 1.6k citations

Hit Papers

Mice lacking angiotensin-converting enzyme have low blood... 1996 2026 2006 2016 1996 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom E. Howard United States 18 716 623 475 389 253 46 1.7k
J. Gilabert Spain 24 497 0.7× 160 0.3× 617 1.3× 150 0.4× 115 0.5× 62 1.8k
Yoji Fukuda Japan 17 645 0.9× 216 0.3× 112 0.2× 143 0.4× 182 0.7× 21 1.6k
Monika Buraczyńska Poland 25 905 1.3× 257 0.4× 68 0.1× 240 0.6× 283 1.1× 84 1.8k
Hironori Nakajima Japan 20 313 0.4× 80 0.1× 175 0.4× 420 1.1× 172 0.7× 66 1.1k
Youqi Han Canada 12 776 1.1× 169 0.3× 153 0.3× 89 0.2× 77 0.3× 16 1.4k
Jeanette Hamlington United States 11 324 0.5× 168 0.3× 135 0.3× 66 0.2× 182 0.7× 14 773
Magdalena Maslowska Canada 13 260 0.4× 153 0.2× 88 0.2× 230 0.6× 106 0.4× 14 1.2k
Barry S. Rosen United States 10 599 0.8× 78 0.1× 122 0.3× 90 0.2× 179 0.7× 10 1.4k
Linda Grimaud France 18 376 0.5× 110 0.2× 61 0.1× 91 0.2× 115 0.5× 33 1.2k
Johan Sällström Sweden 22 431 0.6× 159 0.3× 47 0.1× 136 0.3× 71 0.3× 52 1.2k

Countries citing papers authored by Tom E. Howard

Since Specialization
Citations

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

Fields of papers citing papers by Tom E. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom E. Howard. 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 Tom E. Howard. The network helps show where Tom E. Howard may publish in the future.

Co-authorship network of co-authors of Tom E. Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Tom E. Howard. A scholar is included among the top collaborators of Tom E. Howard 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 Tom E. Howard. Tom E. Howard 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.
Scott, Chloe E. H., Liam Z. Yapp, Tom E. Howard, James T. Patton, & Matthew Moran. (2023). Surgical approaches to periprosthetic femoral fractures for plate fixation or revision arthroplasty. The Bone & Joint Journal. 105-B(6). 593–601. 7 indexed citations
2.
Cruz, Aparecido Divino da, et al.. (2021). Genomic variations in patients with myelodysplastic syndrome and karyotypes without numerical or structural changes. Scientific Reports. 11(1). 2783–2783. 2 indexed citations
3.
Jankowski, Wojciech, Yara Park, Joseph R. McGill, et al.. (2019). Peptides identified on monocyte-derived dendritic cells: a marker for clinical immunogenicity to FVIII products. Blood Advances. 3(9). 1429–1440. 20 indexed citations
4.
Sauna, Zuben E., Jay N. Lozier, Carol K. Kasper, et al.. (2014). The intron-22–inverted F8 locus permits factor VIII synthesis: explanation for low inhibitor risk and a role for pharmacogenomics. Blood. 125(2). 223–228. 16 indexed citations
5.
Howard, Tom E., et al.. (2013). Detection of Intracellular Factor VIII Protein in Peripheral Blood Mononuclear Cells by Flow Cytometry. BioMed Research International. 2013. 1–8. 9 indexed citations
7.
Lewis, Kenneth B., Richard J. Hughes, Melinda S. Epstein, et al.. (2013). Phenotypes of Allo- and Autoimmune Antibody Responses to FVIII Characterized by Surface Plasmon Resonance. PLoS ONE. 8(5). e61120–e61120. 18 indexed citations
8.
Garfield, Susan H., Joanne E. Curran, Eric K. Moses, et al.. (2011). The Entire Primary Sequence of Factor VIII Is Synthesized As Two Polypeptide Chains in Hemophilia A Patients with the Intron-22-Inversion. Blood. 118(21). 1176–1176. 1 indexed citations
9.
Freed, Katy A., John Blangero, Tom E. Howard, et al.. (2011). The 57 kb deletion in cystinosis patients extends into TRPV1 causing dysregulation of transcription in peripheral blood mononuclear cells. Journal of Medical Genetics. 48(8). 563–566. 17 indexed citations
10.
Viel, Kevin R., Afshin Ameri, Thomas C. Abshire, et al.. (2009). Inhibitors of Factor VIII in Black Patients with Hemophilia. New England Journal of Medicine. 360(16). 1618–1627. 134 indexed citations
11.
Sabater‐Lleal, Maria, Miguel Chillón, Tom E. Howard, et al.. (2007). Functional analysis of the genetic variability in the F7 gene promoter. Atherosclerosis. 195(2). 262–268. 23 indexed citations
12.
Fernstrom, Karl, Alexander Duncan, Sébastien Fuchs, et al.. (2007). A nonstop mutation in the factor (F)X gene of a severely haemorrhagic patient with complete absence of coagulation FX. Thrombosis and Haemostasis. 98(12). 1165–1169. 15 indexed citations
14.
15.
Howard, Tom E., et al.. (1997). A patient homozygous for a mutation in the prothrombin gene 3??? -untranslated region associated with massive thrombosis. Blood Coagulation & Fibrinolysis. 8(5). 316–316. 41 indexed citations
16.
Esther, Charles R., Eduardo L. Mariño, Tom E. Howard, et al.. (1997). The critical role of tissue angiotensin-converting enzyme as revealed by gene targeting in mice.. Journal of Clinical Investigation. 99(10). 2375–2385. 234 indexed citations
17.
Esther, Charles R., Tom E. Howard, Elaine M. Marino, et al.. (1996). Mice lacking angiotensin-converting enzyme have low blood pressure, renal pathology, and reduced male fertility.. PubMed. 74(5). 953–65. 380 indexed citations breakdown →
18.
Esther, Charles R., Tom E. Howard, Yudong Zhou, et al.. (1996). Lessons from angiotensin-converting enzyme-deficient mice. Current Opinion in Nephrology & Hypertension. 5(6). 463–467. 5 indexed citations
19.
Bernstein, Kenneth E., et al.. (1993). Structure and Regulated Expression of Angiotensin-Converting Enzyme and the Receptor for Angiotensin II. American Journal of Kidney Diseases. 21(4). 53–57. 7 indexed citations
20.
Bernstein, Kenneth E., et al.. (1992). Tissue Specific Expression of Angiotensin Converting Enzyme. Birkhäuser Basel eBooks. 38 ( Pt 1). 376–383. 5 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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