Evan Weitman

1.6k citations
21 papers · 1.3k indexed · h-index 14

Impact in

  • Oncology top 2%
    • Lymphatic System and Diseases
  • Physiology top 10%
    • Sympathectomy and Hyperhidrosis Treatments

Papers in

Evan Weitman

20 papers receiving 1.2k citations

Peers

Evan Weitman
Comparison fields: 5 of 89
  • Oncology 1.1k
  • Physiology 357
  • Surgery 573
  • Pathology and Forensic Medicine 187
  • Cell Biology 122
Replace Alan Yan with:
Alan Yan United States
Young-Kwon Hong United States
Swapna Ghanta United States
Russell H. Mellor United Kingdom
Natalya Lyubynska United States
Kristiana Gordon United Kingdom
Stefano Gentileschi Italy
Maria Antsiferova Switzerland
Nobuhiro Hanai Japan
Adam Mizeracki United States
Evan Weitman relative to Alan Yan United States Alan Yan's profile →
Citations per field
00.5×1.5×
Alan Yan · 1×
Citations per year

Countries citing papers authored by Evan Weitman

Since Specialization
Citations

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

Fields of papers citing papers by Evan Weitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20191
3 20187
4 201828
5 201714
6 20177
7 20163
8 201488
9 201469
10 2013157
11 201318
12 20130
13 2012150
14 2012184
15 201296
16 2012188
17 201172
18 201169
19 201164
20 20052

About Evan Weitman

Evan Weitman is a scholar working on Oncology, Pathology and Forensic Medicine, Gastroenterology, Anesthesiology and Pain Medicine and Physiology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphatic System and Diseases (13 papers), Systemic Sclerosis and Related Diseases (5 papers), Sympathectomy and Hyperhidrosis Treatments (3 papers), Cutaneous Melanoma Detection and Management (3 papers), Skin and Cellular Biology Research (2 papers), Body Contouring and Surgery (2 papers), Neonatal Respiratory Health Research (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Oncology (1.1k citations), Physiology (357 citations), Surgery (573 citations), Pathology and Forensic Medicine (187 citations) and Cell Biology (122 citations). Evan Weitman has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Babak J. Mehrara, Jamie C. Zampell, Alan Yan, Sonia Elhadad, Tomer Avraham, Seth Z. Aschen, Daniel Cuzzone, Marina De Brot, Nicholas J. Albano and Swapna Ghanta. Their work appears in journals such as Plastic & Reconstructive Surgery, PLoS ONE, American Journal of Physiology-Cell Physiology, Future Oncology and The FASEB Journal.

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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