David Kaul

3.4k citations
104 papers · 1.4k · h-index 20

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

David Kaul

95 papers receiving 1.4k citations

Peers

David Kaul
Comparison fields: 5 of 95
  • Neurology 204
  • Genetics 197
  • Biological Psychiatry 26
  • Pulmonary and Respiratory Medicine 321
  • Immunology 205
Replace Jana Ivanidze with:
Jana Ivanidze United States
Jerome Graber United States
Shuai Liu China
Walter C. Jean United States
Pierpaolo Alongi Italy
J. Y. Delattre France
Daniel Raper United States
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Tae‐Won Kim South Korea
David Kaul relative to Jana Ivanidze United States Jana Ivanidze's profile →
Citations per field
00.5×2.9×
Jana Ivanidze · 1×
Citations per year

Countries citing papers authored by David Kaul

Since Specialization
Citations

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

Fields of papers citing papers by David Kaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007221
2 2012108
3 201559
4 201254
5 202152
6 201438
7 201333
8 201932
9 201731
10 201430
11 201529
12 201926
13 201524
14 201923
15 202122
16 201422
17 202021
18 202221
19 201421
20 201919

About David Kaul

David Kaul is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Radiology, Nuclear Medicine and Imaging, Epidemiology and Oncology, having authored 104 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (27 papers), Brain Metastases and Treatment (16 papers), Sarcoma Diagnosis and Treatment (12 papers), Meningioma and schwannoma management (11 papers), Radiation Dose and Imaging (8 papers), Medical Imaging Techniques and Applications (6 papers), Prostate Cancer Treatment and Research (4 papers) and Ultrasound and Hyperthermia Applications (4 papers). The work is most often cited by research in Neurology (204 citations), Genetics (197 citations), Biological Psychiatry (26 citations), Pulmonary and Respiratory Medicine (321 citations) and Immunology (205 citations). David Kaul has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Volker Budach, Harun Badakhshi, Seija Lehnardt, Pirus Ghadjar, Robert Nitsch, Sabrina Lehmann, Felix Ehret, Joerg R. Weber, Olaf Hoffmann and Andreas Meisel. Their work appears in journals such as Radiation Oncology, Frontiers in Oncology, Cancers, Journal of Neuro-Oncology and Acta Radiologica.

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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