KD Miller

1.3k citations
36 papers · 924 · h-index 13

Impact in

Papers in

KD Miller

36 papers receiving 892 citations

Peers

KD Miller
Comparison fields: 5 of 91
  • Cognitive Neuroscience 402
  • Cellular and Molecular Neuroscience 255
  • Oncology 284
  • Cancer Research 80
  • Radiology, Nuclear Medicine and Imaging 90
Replace David Eriksson with:
David Eriksson Sweden
Susanne Kunkel Germany
Preya Shah United States
Graham Ellis-Davies United States
James M. McFarland United States
Р. В. Холоденко Russia
Maria Elisabetta Ruaro Italy
Masaki Nomura Japan
Antje Neeb Germany
Zhikai Zhao China
KD Miller relative to David Eriksson Sweden David Eriksson's profile →
Citations per field
00.5×1.5×
David Eriksson · 1×
Citations per year

Countries citing papers authored by KD Miller

Since Specialization
Citations

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

Fields of papers citing papers by KD Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994259
2 2001134
3 200399
4 199567
5 200250
6 200546
7 200941
8 200739
9 201034
10 201725
11 201020
12 201813
13 201012
14 200410
15 20108
16 20118
17 20197
18 20026
19 20066
20 20105

About KD Miller

KD Miller is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 36 papers that have together received 924 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (18 papers), Advanced Breast Cancer Therapies (14 papers), Breast Cancer Treatment Studies (12 papers), HER2/EGFR in Cancer Research (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (402 citations), Cellular and Molecular Neuroscience (255 citations), Oncology (284 citations), Cancer Research (80 citations) and Radiology, Nuclear Medicine and Imaging (90 citations). KD Miller has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include George W. Sledge, Anthony Rhodes, Margaret Ashton‐Key, G. W. Sledge, WJ Gradishar, Véronique Dièras, Adam Brufsky, Sem H. Phan, Nadia Harbeck and Fabrice André. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, European Journal of Cancer, Neurocomputing and Journal of Neuroscience.

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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