I‐Fen Chang

470 citations
16 papers · 285 · h-index 8

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Lung Cancer Research Studies

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • Cutaneous Melanoma Detection and Management 3
    • Liver Diseases and Immunity 2

I‐Fen Chang

16 papers receiving 281 citations

Peers

I‐Fen Chang
Comparison fields: 5 of 50
  • Transplantation 14
  • Oncology 138
  • Emergency Medicine 43
  • Hepatology 26
  • Toxicology 7
Replace Simone Kathemann with:
Simone Kathemann Germany
Hui‐Ling Yeoh Australia
Michele Grieco Italy
J. Steinhoff Germany
C. Ball United Kingdom
Sameh Trabelsi Tunisia
G Kaiser Germany
Jaime Oblitas United States
Daniel Wenning Germany
V K Kapoor India
I‐Fen Chang relative to Simone Kathemann Germany Simone Kathemann's profile →
Citations per field
00.5×3.9×
Simone Kathemann · 1×
Citations per year

Countries citing papers authored by I‐Fen Chang

Since Specialization
Citations

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

Fields of papers citing papers by I‐Fen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Fen Chang. 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 I‐Fen Chang. The network helps show where I‐Fen Chang may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200448
2 201645
3 200645
4 200243
5 201838
6 200716
7 200515
8 20168
9 20177
10 20167
11 20155
12
Impact of key prognostic factors on long-term overall survival in BRAFV600-mutated metastatic melanoma patients treated with vemurafenib in the BRIM-3 study
20162
13 20042
14 20142
15 20041
16 20051

About I‐Fen Chang

I‐Fen Chang is a scholar working on Oncology, Hepatology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 285 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Cutaneous Melanoma Detection and Management (3 papers), Melanoma and MAPK Pathways (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Lung Cancer Treatments and Mutations (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Liver Diseases and Immunity (2 papers). The work is most often cited by research in Transplantation (14 citations), Oncology (138 citations), Emergency Medicine (43 citations), Hepatology (26 citations) and Toxicology (7 citations). I‐Fen Chang has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Saul J. Karpen, Beth A. Carter, John A. Goss, Daniel I. Feig, David J. Askenazi, Ewa Elenberg, Stuart L. Goldstein, Neal R. Barshes, Rubén E. Quirós‐Tejeira and John A. Goss. Their work appears in journals such as Journal of Pediatric Gastroenterology and Nutrition, Annals of Oncology, Pediatric Transplantation, Melanoma Research and Journal of Clinical Oncology.

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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