Wanlim Kim

454 citations
41 papers · 313 · h-index 11

Impact in

Papers in

Wanlim Kim

37 papers receiving 305 citations

Peers

Wanlim Kim
Comparison fields: 5 of 56
  • Pulmonary and Respiratory Medicine 155
  • Rheumatology 63
  • Oncology 102
  • Surgery 102
  • Cancer Research 32
Replace Primo Andrea Daolio with:
Primo Andrea Daolio Italy
Nicholas Eastley United Kingdom
Heng Cao China
Shervin V. Oskouei United States
Shuai Zhu China
Dhanapathi Halanaik India
Ken Ono Japan
Christine Galant Belgium
Noriki Miyamoto Japan
Joseph Gabrieli Italy
Wanlim Kim relative to Primo Andrea Daolio Italy Primo Andrea Daolio's profile →
Citations per field
00.5×1.5×
Primo Andrea Daolio · 1×
Citations per year

Countries citing papers authored by Wanlim Kim

Since Specialization
Citations

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

Fields of papers citing papers by Wanlim Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Blockade of CCL2 expression overcomes intrinsic PD-1/PD-L1 inhibitor-resistance in transglutaminase 2-induced PD-L1 positive triple negative breast cancer.
202034
2 201432
3 201528
4
The GTP binding activity of transglutaminase 2 promotes bone metastasis of breast cancer cells by downregulating microRNA-205.
201926
5 201822
6 201519
7 201915
8 201514
9 201813
10 201413
11 201512
12 20209
13 20187
14 20217
15 20147
16 20197
17 20206
18 20215
19 20165
20
NY-ESO-1 as a diagnostic and prognostic marker for myxoid liposarcoma.
20224

About Wanlim Kim

Wanlim Kim is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Rheumatology and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 313 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (23 papers), Vascular Tumors and Angiosarcomas (8 papers), Cardiac tumors and thrombi (7 papers), Bone Tumor Diagnosis and Treatments (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Orthopaedic implants and arthroplasty (4 papers), Musculoskeletal synovial abnormalities and treatments (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (155 citations), Rheumatology (63 citations), Oncology (102 citations), Surgery (102 citations) and Cancer Research (32 citations). Wanlim Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Ilkyu Han, Han‐Soo Kim, Michael Seungcheol Kang, Jung‐Jae Kim, Seyoung Seo, Jong Seok Lee, Kang‐Seo Park, Chang Hoon Lee, Shinkyo Yoon and Hwan Seong Cho. Their work appears in journals such as Cancer Research and Treatment, Scientific Reports, Orthopedics, Journal of Surgical Oncology and Cancer Imaging.

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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