Jennifer E. Kim

1.5k citations
23 papers · 651 indexed · h-index 12

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Intracranial Aneurysms: Treatment and Complications 6
    • Traumatic Brain Injury and Neurovascular Disturbances 3
    • Vascular Malformations Diagnosis and Treatment 3
    • Neurosurgical Procedures and Complications 2
    • Glioma Diagnosis and Treatment 5

Jennifer E. Kim

21 papers receiving 643 citations

Peers

Jennifer E. Kim
Comparison fields: 5 of 80
  • Genetics 178
  • Immunology 201
  • Neurology 65
  • Oncology 205
  • Neurology 75
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Nagwa S. El‐Badri United States
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Citations per field
00.5×10×16×
Majid Zamani · 1×
Citations per year

Countries citing papers authored by Jennifer E. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 20234
4 20230
5 202312
6 202264
7 202021
8 201686
9 201643
10 201514
11 201510
12 201538
13 201529
14 20153
15 20144
16 20142
17 201415
18 201310
19 201343
20
Mandible reconstruction.
20131

About Jennifer E. Kim

Jennifer E. Kim is a scholar working on Neurology, Genetics, Internal Medicine, Neurology and Immunology, having authored 23 papers that have together received 651 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (6 papers), Glioma Diagnosis and Treatment (5 papers), Meningioma and schwannoma management (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Spinal Hematomas and Complications (2 papers) and Neurosurgical Procedures and Complications (2 papers). The work is most often cited by research in Genetics (178 citations), Immunology (201 citations), Neurology (65 citations), Oncology (205 citations) and Neurology (75 citations). Jennifer E. Kim has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Christopher M. Jackson, Michael Lim, Antonella Mangraviti, Eileen Kim, Henry Brem, Betty Tyler, Chetan Bettegowda, Xiaobu Ye, Ali Bydon and Drew M. Pardoll. Their work appears in journals such as Neurosurgery, Journal of Neurosurgery Spine, Neurosurgical FOCUS, Operative Neurosurgery and World Neurosurgery.

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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