T Kahn

1.6k citations
53 papers · 1.1k · h-index 17

Impact in

Papers in

T Kahn

51 papers receiving 1.0k citations

Peers

T Kahn
Comparison fields: 5 of 77
  • Radiology, Nuclear Medicine and Imaging 330
  • Otorhinolaryngology 52
  • Genetics 89
  • Pulmonary and Respiratory Medicine 257
  • Neurology 94
Replace Twyla B. Bartel with:
Twyla B. Bartel United States
Elinor Goshen Israel
Pierpaolo Alongi Italy
Paul A. Caruso United States
Reinhart A. Sweeney Germany
Vaios Hatzoglou United States
Ramona Woitek Austria
Christopher P. Wood United States
John A. Arrington United States
Jinyu Xue United States
T Kahn relative to Twyla B. Bartel United States Twyla B. Bartel's profile →
Citations per field
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Twyla B. Bartel · 1×
Citations per year

Countries citing papers authored by T Kahn

Since Specialization
Citations

This map shows the geographic impact of T Kahn'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 T Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Kahn more than expected).

Fields of papers citing papers by T Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000119
2
Gross-total surgery of supratentorial low-grade gliomas under intraoperative MR guidance.
200183
3
Topography and identification of the inferior precentral sulcus in MR imaging.
198981
4 201380
5 198966
6 198963
7 199660
8 199651
9 201249
10 200445
11 199644
12 201540
13 199536
14 200532
15 200421
16 200720
17 201418
18 199214
19 199613
20 200113

About T Kahn

T Kahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Biomedical Engineering and Neurology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (7 papers), Advanced MRI Techniques and Applications (5 papers), Digital Radiography and Breast Imaging (3 papers), Cardiac Imaging and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), MRI in cancer diagnosis (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (330 citations), Otorhinolaryngology (52 citations), Genetics (89 citations), Pulmonary and Respiratory Medicine (257 citations) and Neurology (94 citations). T Kahn has collaborated with scholars based in Germany, Switzerland and Türkiye. Frequent co-authors include Helmuth Steinmetz, U. Ebeling, Thomas Voit, Ulrich Mödder, Yucheng Huang, Turan Olğar, Patrick Stumpp, Osama Sabri, Frank Schmidt and Regine Kluge. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Radiology, Neuropediatrics, Acta Paediatrica and European Journal of Pediatrics.

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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