Melissa Smith

51 papers receiving 1.2k citations

Peers

Melissa Smith
Comparison fields: 5 of 99
  • Dermatology 147
  • Genetics 384
  • Public Health, Environmental and Occupational Health 340
  • Transplantation 23
  • Epidemiology 238
Replace Tang‐Her Jaing with:
Tang‐Her Jaing Taiwan
J P Gendre France
J. Bontis Greece
David R. Berk United States
Marta Calvo Spain
Cynthia Kaplan United States
M. Hansmann Germany
Jeffery J. Auletta United States
P. Plantin France
Martin Wetzke Germany
Melissa Smith relative to Tang‐Her Jaing Taiwan Tang‐Her Jaing's profile →
Citations per field
00.5×4.5×
Tang‐Her Jaing · 1×
Citations per year

Countries citing papers authored by Melissa Smith

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008136
2 1996101
3 196378
4 201377
5 201276
6 201072
7 200972
8 202068
9 201762
10 200854
11 201247
12 196443
13 196134
14 199831
15 199029
16 202028
17 200824
18 199122
19 199822
20 196218

About Melissa Smith

Melissa Smith is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Epidemiology, Dermatology and Surgery, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (8 papers), Inflammatory Bowel Disease (8 papers), Autoimmune Bullous Skin Diseases (5 papers), Sarcoma Diagnosis and Treatment (5 papers), Medicine and Dermatology Studies History (5 papers), Microscopic Colitis (5 papers), Human-Animal Interaction Studies (4 papers) and Acne and Rosacea Treatments and Effects (4 papers). The work is most often cited by research in Dermatology (147 citations), Genetics (384 citations), Public Health, Environmental and Occupational Health (340 citations), Transplantation (23 citations) and Epidemiology (238 citations). Melissa Smith has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Anthony M. Marinaki, Jeremy Sanderson, Peter M. Irving, Christopher D.�M. Fletcher, R S Wells, John R. Goodlad, Paul Blaker, M Arenas, J. A. Duley and P. M. Waterworth. Their work appears in journals such as British Journal of Dermatology, Alimentary Pharmacology & Therapeutics, Gastroenterology, Journal of Crohn s and Colitis and Applied Animal Behaviour Science.

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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