K Bland

3.3k citations
17 papers · 2.7k indexed · 2 hit papers · h-index 10

Impact in

Papers in

K Bland

17 papers receiving 2.7k citations

Hit Papers

Slit Is the Midline Repellent for the Robo Receptor in Drosophila 1999 · 781 citations
7811999202620082017250500750

Peers

K Bland
Comparison fields: 5 of 100
  • Developmental Neuroscience 830
  • Cellular and Molecular Neuroscience 2.1k
  • Cell Biology 721
  • Aging 51
  • Molecular Biology 1.4k
Replace Chay T. Kuo with:
Chay T. Kuo United States
Corinna Klein Germany
Ulrich Hengst United States
Györgyi Szebenyi United States
Betty P. Liu United States
Fenghua Hu United States
Fumiaki Saito Japan
David R. Gies United States
Friedrich Propst Austria
Kevin J. Lee United States
K Bland relative to Chay T. Kuo United States Chay T. Kuo's profile →
Citations per field
00.5×2.8×
Chay T. Kuo · 1×
Citations per year

Countries citing papers authored by K Bland

Since Specialization
Citations

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

Fields of papers citing papers by K Bland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20167
2 20163
3 20143
4
Dental Anatomy: A Review
20132
5 20129
6 20122
7 200428
8 2002284
9 2000201
10 2000258
11 200020
12
Slit Is the Midline Repellent for the Robo Receptor in Drosophila
Hit paper breakdown →
1999781
13
Slit Proteins Bind Robo Receptors and Have an Evolutionarily Conserved Role in Repulsive Axon Guidance
Hit paper breakdown →
1999958
14 199898
15 19963
16 199512
17 199416

About K Bland

K Bland is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Periodontics, Hematology and Emergency Medical Services, having authored 17 papers that have together received 2.7k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (5 papers), Neurobiology and Insect Physiology Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Neuroscience and Neural Engineering (2 papers), Peripheral Artery Disease Management (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Developmental Neuroscience (830 citations), Cellular and Molecular Neuroscience (2.1k citations), Cell Biology (721 citations), Aging (51 citations) and Molecular Biology (1.4k citations). K Bland has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Corey S. Goodman, Thomas Kidd, Kuan Hong Wang, David Arnott, Katja Brose, Marc Tessier‐Lavigne, William J. Henzel, J. Simpson, Richard D. Fetter and William J. Britt. Their work appears in journals such as Cell, Journal of Cardiovascular Pharmacology, Neuron, SLAS DISCOVERY and Biotechnology and Applied Biochemistry.

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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