K. Bloom

128.2k citations
48 papers · 877 · h-index 13

Impact in

Papers in

K. Bloom

45 papers receiving 835 citations

Peers

K. Bloom
Comparison fields: 5 of 91
  • Oncology 244
  • Cancer Research 117
  • Pathology and Forensic Medicine 111
  • Biophysics 32
  • Radiology, Nuclear Medicine and Imaging 103
Replace J.J. Phelan with:
J.J. Phelan Ireland
Lisa Tucker‐Kellogg Singapore
Lionel Spinelli France
Beena John United States
Carlo Danieli South Korea
Taku A. Tokuyasu United States
Michael Brockmann Germany
Ralf Bundschuh United States
Ramit Mehr Israel
K. Bloom relative to J.J. Phelan Ireland J.J. Phelan's profile →
Citations per field
00.5×4.8×
J.J. Phelan · 1×
Citations per year

Countries citing papers authored by K. Bloom

Since Specialization
Citations

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

Fields of papers citing papers by K. Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017214
2 2002111
3 202298
4 200486
5 200481
6 199659
7 201335
8 201426
9 201021
10 201020
11 200917
12 199816
13
Search for new physics in the multijet and missingtransverse momentum final state in proton-protoncollisions at √s = 8 TeV
201415
14 201411
15 20119
16 20215
17 20165
18 19995
19
Determination of the strong coupling constant from the inclusive jet cross section in ppcollisions at √s= 1.96 TeV
20094
20 20083

About K. Bloom

K. Bloom is a scholar working on Computer Networks and Communications, Oncology, Nuclear and High Energy Physics, Information Systems and Management and Cancer Research, having authored 48 papers that have together received 877 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Particle physics theoretical and experimental studies (11 papers), Advanced Data Storage Technologies (11 papers), Scientific Computing and Data Management (9 papers), HER2/EGFR in Cancer Research (5 papers), High-Energy Particle Collisions Research (5 papers), Breast Cancer Treatment Studies (4 papers) and Particle Detector Development and Performance (4 papers). The work is most often cited by research in Oncology (244 citations), Cancer Research (117 citations), Pathology and Forensic Medicine (111 citations), Biophysics (32 citations) and Radiology, Nuclear Medicine and Imaging (103 citations). K. Bloom has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Douglas S. Harrington, Ahmed Moustafa, Chao Xie, Eric Delwart, Amalio Telenti, Yaron Turpaz, J. Craig Venter, Emily Wong, William Biggs and Ewen F. Kirkness. Their work appears in journals such as American Journal of Clinical Pathology, Cancer Research, The Breast Journal, Journal of Clinical Pathology and Physical Review Letters.

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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