Hakan Çam

1.5k citations
32 papers · 1.2k · h-index 18

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer-related Molecular Pathways

Papers in

Hakan Çam

30 papers receiving 1.2k citations

Peers

Hakan Çam
Comparison fields: 5 of 106
  • Cancer Research 227
  • Oncology 398
  • Immunology 184
  • Molecular Biology 534
  • Biotechnology 48
Replace Takuya Nagata with:
Takuya Nagata Japan
Young Ki Hong United States
Wen Zhou China
Masayuki Nagahashi United States
Nameer B. Kirma United States
Wenzhi Shen China
Hong Zhu China
Hans-Juergen Schulten Saudi Arabia
Ying‐Hui Zhu China
Serge Haan Luxembourg
Hakan Çam relative to Takuya Nagata Japan Takuya Nagata's profile →
Citations per field
00.5×1.5×
Takuya Nagata · 1×
Citations per year

Countries citing papers authored by Hakan Çam

Since Specialization
Citations

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

Fields of papers citing papers by Hakan Çam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010225
2 2003156
3 200693
4 201375
5 200872
6 201863
7 200662
8 202258
9 201349
10 201948
11 201347
12 202031
13 201130
14 201927
15 200626
16 201623
17 201220
18 201119
19 201714
20 20119

About Hakan Çam

Hakan Çam is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Immunology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), CAR-T cell therapy research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Sarcoma Diagnosis and Treatment (3 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Hepatitis C virus research (2 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Cancer Research (227 citations), Oncology (398 citations), Immunology (184 citations), Molecular Biology (534 citations) and Biotechnology (48 citations). Hakan Çam has collaborated with scholars based in United States, Türkiye and Italy. Frequent co-authors include Peter J. Houghton, John Easton, Anthony A. High, Maren Cam, Ryan D. Roberts, Thomas Blankenstein, Christopher Baum, Stefano Indraccolo, Wolfgang Uckert and Thomas Schüler. Their work appears in journals such as Cancer Research, Oncotarget, Neuro-Oncology, Molecular Cancer Therapeutics and Molecular and Cellular Biochemistry.

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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