Tom E. Howard

2.2k citations
46 papers · 1.7k indexed · 1 hit paper · h-index 18

Tom E. Howard

40 papers receiving 1.6k citations

Hit Papers

Mice lacking angiotensin-converting enzyme have low blood...3801996202620062016100200300

Peers

Tom E. Howard
Comparison fields: 5 of 85
  • Hematology 475
  • Cardiology and Cardiovascular Medicine 623
  • Endocrinology, Diabetes and Metabolism 389
  • Internal Medicine 77
  • Genetics 193
Replace J. Gilabert with:
J. Gilabert Spain
Jeanette Hamlington United States
Yoji Fukuda Japan
Monika Buraczyńska Poland
Matthias Canault France
Catherine C. Robertson Canada
Pieter J. Oort United States
Zuocheng Yang China
Linda Grimaud France
Erwin Wijnands Netherlands
Tom E. Howard relative to J. Gilabert Spain J. Gilabert's profile →
Citations per field
00.5×3.9×
J. Gilabert · 1×
Citations per year

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

The 25 scholars most cited alongside Tom E. Howard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom E. Howard Line = papers co-authored together Tom E. Howard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20237
2 20212
3 201416
4 20139
5 201318
6 201326
7 201117
8 201111
9 2009134
10 200723
11 200715
12 20061
13 200617
14 20054
15 1997234
16 199741
17
Mice lacking angiotensin-converting enzyme have low blood pressure, renal pathology, and reduced male fertility.breakdown →
1996380
18 19965
19 19937
20 19925

About Tom E. Howard

Tom E. Howard is a scholar working on Hematology, Genetics, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (24 papers), Platelet Disorders and Treatments (12 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Renin-Angiotensin System Studies (5 papers), Cancer-related gene regulation (5 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers). The work is most often cited by research in Hematology (475 citations), Cardiology and Cardiovascular Medicine (623 citations), Endocrinology, Diabetes and Metabolism (389 citations), Internal Medicine (77 citations) and Genetics (193 citations). Tom E. Howard has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Kenneth E. Bernstein, Mario R. Capecchi, Charles R. Esther, Elaine M. Marino, Shaw‐Yung Shai, Kimberly G. Langford, Judy M. Goddard, Paul A. Overbeek, Brian M. Martin and Eduardo L. Mariño. Their work appears in journals such as Blood, Molecular and Cellular Biology, Scientific Reports, Blood Coagulation & Fibrinolysis and Journal of Thrombosis and Haemostasis.

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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