Simon Kind

540 citations
37 papers · 329 · h-index 10

Impact in

    • Cancer Diagnosis and Treatment
    • Cancer Cells and Metastasis
    • Breast Cancer Treatment Studies

Papers in

Simon Kind

37 papers receiving 325 citations

Peers

Simon Kind
Comparison fields: 5 of 58
  • Oncology 75
  • Cancer Research 34
  • Pulmonary and Respiratory Medicine 71
  • Otorhinolaryngology 10
  • Cell Biology 24
Replace Annette Säfholm with:
Annette Säfholm Sweden
Yoshiaki Kamei Japan
Zizhen Zhang China
Tadashi Yoshizawa Japan
Indranil Das India
Katie E. Hebron United States
Stacey L. Thomas United States
Merete Thune Wiiger Norway
Jessica Yang United States
Frida Abel Sweden
Simon Kind relative to Annette Säfholm Sweden Annette Säfholm's profile →
Citations per field
00.5×2×4×6×8.4×
Annette Säfholm · 1×
Citations per year

Countries citing papers authored by Simon Kind

Since Specialization
Citations

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

Fields of papers citing papers by Simon Kind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 202135
3 201928
4 201918
5 202416
6 202214
7 202414
8 202414
9 202013
10 201911
11 202410
12 20209
13 20209
14 20229
15 20208
16 20228
17 20207
18 20227
19 20247
20 20196

About Simon Kind

Simon Kind is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Cell Biology and Otorhinolaryngology, having authored 37 papers that have together received 329 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Metastasis and carcinoma case studies (8 papers), Cancer Diagnosis and Treatment (8 papers), Breast Cancer Treatment Studies (5 papers), Bladder and Urothelial Cancer Treatments (3 papers), Skin and Cellular Biology Research (3 papers), Chromatin Remodeling and Cancer (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Oncology (75 citations), Cancer Research (34 citations), Pulmonary and Respiratory Medicine (71 citations), Otorhinolaryngology (10 citations) and Cell Biology (24 citations). Simon Kind has collaborated with scholars based in Germany. Frequent co-authors include Max Anstötz, Lepu Zhou, Ricardo Vierk, Nicola Brandt, Gabriele M. Rune, Lars Fester, Maria Christina Tsourlakis, Franziska Büscheck, Andreas M. Luebke and Sören Alexander Weidemann. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Human Pathology, The American Journal of Surgical Pathology, BMC Cancer and Disease Markers.

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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