I‐Fen Chang

483 citations
16 papers · 289 · h-index 9

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Polyomavirus and related diseases
    • Lung Cancer Research Studies
    • Poisoning and overdose treatments

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • Cutaneous Melanoma Detection and Management 3
    • Melanoma and MAPK Pathways 3

I‐Fen Chang

16 papers receiving 285 citations

Peers

I‐Fen Chang
Comparison fields: 5 of 47
  • Oncology 123
  • Emergency Medicine 38
  • Transplantation 9
  • Hepatology 18
  • Toxicology 6
Replace Hui‐Ling Yeoh with:
Hui‐Ling Yeoh Australia
Franco Nodari Italy
V K Kapoor India
D. Sforza Italy
C. Camaris Australia
J.W.M. ter Berg Netherlands
Johnny McHugh Ireland
E Medina Spain
Simon Little Germany
J. Steinhoff Germany
I‐Fen Chang relative to Hui‐Ling Yeoh Australia Hui‐Ling Yeoh's profile →
Citations per field
00.5×10×15×19×
Hui‐Ling Yeoh · 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 200646
3 201646
4 200244
5 201838
6 200716
7 200515
8 20168
9 20168
10 20177
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, Molecular Biology, Pulmonary and Respiratory Medicine, Transplantation and Hepatology, having authored 16 papers that have together received 289 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), Liver Diseases and Immunity (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Oncology (123 citations), Emergency Medicine (38 citations), Transplantation (9 citations), Hepatology (18 citations) and Toxicology (6 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, Ewa Elenberg, David J. Askenazi, Stuart L. Goldstein, Daniel I. Feig, Neal R. Barshes, Rubén E. Quirós‐Tejeira and Walter J. Curran. Their work appears in journals such as Annals of Oncology, Journal of Pediatric Gastroenterology and Nutrition, Pediatric Transplantation, Journal of Clinical Oncology and Melanoma Research.

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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