Caroline An

472 citations
8 papers · 334 · h-index 8

Impact in

  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Pancreatic and Hepatic Oncology Research 1
    • IgG4-Related and Inflammatory Diseases 2

Caroline An

8 papers receiving 327 citations

Peers

Caroline An
Comparison fields: 5 of 42
  • Genetics 94
  • Hematology 83
  • Pathology and Forensic Medicine 97
  • Oncology 88
  • Rheumatology 32
Replace Matthew T. Howard with:
Matthew T. Howard United States
Françoise Delacrétaz Switzerland
Laurence Sanhès France
Athina Androulaki Greece
Xavier Cahu France
А. М. Ковригина Russia
Henry Rappaport United States
Elizabeth L. Courville United States
Olivia Minelli Italy
Jean Jacques Sotto France
Caroline An relative to Matthew T. Howard United States Matthew T. Howard's profile →
Citations per field
00.5×1.5×
Matthew T. Howard · 1×
Citations per year

Countries citing papers authored by Caroline An

Since Specialization
Citations

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

Fields of papers citing papers by Caroline An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 200683
2 200665
3 201061
4 200449
5 200734
6
Primary pancreatic follicle center-derived lymphoma masquerading as carcinoma.
201117
7 200315
8 200310

About Caroline An

Caroline An is a scholar working on Oncology, Rheumatology, Surgery, Molecular Biology and Genetics, having authored 8 papers that have together received 334 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Pancreatitis Pathology and Treatment (2 papers), IgG4-Related and Inflammatory Diseases (2 papers), Abdominal Trauma and Injuries (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Genetics (94 citations), Hematology (83 citations), Pathology and Forensic Medicine (97 citations), Oncology (88 citations) and Rheumatology (32 citations). Caroline An has collaborated with scholars based in United States. Frequent co-authors include Attilio Orazi, Dennis P. O’Malley, Gail H. Vance, Magdalena Czader, Kristen N. Ganjoo, Michael J. Robertson, Sandra J. Horning, Edie Weller, Leo I. Gordon and Jill Weisenbach. Their work appears in journals such as Modern Pathology, Archives of Pathology & Laboratory Medicine, Cytometry Part A, Journal of Cancer Research and Clinical Oncology and Leukemia & lymphoma.

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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