Eric W. Howard

57 papers receiving 4.0k citations

Eric W. Howard's Hit Papers

Nanomaterial Applications in Photothermal Therapy for Cancer 2019 · 337 citations
3370+2+4Years since publication100200300

Peers

Eric W. Howard
Comparison fields: 5 of 137
  • Cancer Research 1.3k
  • Immunology and Allergy 465
  • Rehabilitation 495
  • Hematology 442
  • Oncology 813
Replace Charles M. Lapière with:
Charles M. Lapière Belgium
Ornella Parolini Italy
Gail L. Griffin United States
Betty Nusgens Belgium
Paola Zigrino Germany
Arthur I. Roberts United States
Karen A. Hasty United States
Kim S. Midwood United Kingdom
Seth L. Schor United Kingdom
Bernd Giebel Germany
Eric W. Howard relative to Charles M. Lapière Belgium Charles M. Lapière's profile →
Citations per field
00.5×1.5×
Charles M. Lapière · 1×
Citations per year

Countries citing papers authored by Eric W. Howard

Since Specialization
Citations

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

Fields of papers citing papers by Eric W. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric W. 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 Eric W. Howard Line = papers co-authored together Eric W. Howard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000407
2
Nanomaterial Applications in Photothermal Therapy for Cancer
Hit paper breakdown →
2019337
3 2005233
4 1995216
5 1996197
6 1991192
7 1991180
8 1997169
9 2001158
10 2000157
11 2000157
12 2003144
13 2018128
14 1991124
15 2011105
16 200297
17 200180
18 199875
19 199973
20 200666

About Eric W. Howard

Eric W. Howard is a scholar working on Cancer Research, Molecular Biology, Oncology, Hematology and Rehabilitation, having authored 57 papers that have together received 4.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (24 papers), Blood Coagulation and Thrombosis Mechanisms (13 papers), Peptidase Inhibition and Analysis (11 papers), Wound Healing and Treatments (9 papers), Nanoplatforms for cancer theranostics (4 papers), Cell Adhesion Molecules Research (4 papers), Tendon Structure and Treatment (4 papers) and Periodontal Regeneration and Treatments (4 papers). The work is most often cited by research in Cancer Research (1.3k citations), Immunology and Allergy (465 citations), Rehabilitation (495 citations), Hematology (442 citations) and Oncology (813 citations). Eric W. Howard has collaborated with scholars based in United States, Australia and China. Frequent co-authors include James J. Tomasek, Elizabeth C. Bullen, Michael J. Banda, Melville B. Vaughan, Dawn L. Updike, Wei R. Chen, Elivia Layton, Cynthia K. Murray, Ashley R. Hoover and Austin Doughty. Their work appears in journals such as Journal of Biological Chemistry, Experimental Cell Research, Plastic & Reconstructive Surgery, Journal of Investigative Dermatology and International Journal of Cancer.

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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