David Kristofferson

732 total citations
19 papers, 602 citations indexed

About

David Kristofferson is a scholar working on Molecular Biology, Cell Biology and Biomaterials. According to data from OpenAlex, David Kristofferson has authored 19 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Biomaterials. Recurrent topics in David Kristofferson's work include Microtubule and mitosis dynamics (5 papers), Genomics and Phylogenetic Studies (4 papers) and Genetics, Bioinformatics, and Biomedical Research (4 papers). David Kristofferson is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), Genomics and Phylogenetic Studies (4 papers) and Genetics, Bioinformatics, and Biomedical Research (4 papers). David Kristofferson collaborates with scholars based in United States, United Kingdom and Sweden. David Kristofferson's co-authors include Daniel L. Purich, Timothy L. Karr, D L Purich, Timothy J. Mitchison, Marc W. Kirschner, Christian Burks, Martin Kelly, Paul Gilna, Robert A. Love and Robert M. Stroud and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

David Kristofferson

19 papers receiving 548 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Kristofferson United States 12 451 324 51 45 43 19 602
S Granett United States 9 309 0.7× 273 0.8× 26 0.5× 22 0.5× 36 0.8× 10 461
John Peloquin United States 11 551 1.2× 745 2.3× 86 1.7× 64 1.4× 44 1.0× 15 920
L G Bergen United States 8 432 1.0× 408 1.3× 57 1.1× 81 1.8× 19 0.4× 9 544
Meng-Xin Yin China 16 402 0.9× 349 1.1× 31 0.6× 52 1.2× 42 1.0× 32 729
Eckhard Mandelkow Germany 6 453 1.0× 363 1.1× 41 0.8× 50 1.1× 67 1.6× 6 679
Gregory J. Podgorski United States 18 500 1.1× 491 1.5× 32 0.6× 29 0.6× 31 0.7× 36 787
Martina Marzioch Germany 8 1.3k 2.8× 271 0.8× 62 1.2× 53 1.2× 85 2.0× 8 1.4k
Yoshiki Takashima Japan 9 605 1.3× 100 0.3× 33 0.6× 107 2.4× 58 1.3× 16 728
Erin M. Jonasson United States 7 344 0.8× 294 0.9× 45 0.9× 51 1.1× 33 0.8× 11 575
Claudia Cericola Italy 7 478 1.1× 386 1.2× 26 0.5× 31 0.7× 45 1.0× 9 645

Countries citing papers authored by David Kristofferson

Since Specialization
Citations

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

Fields of papers citing papers by David Kristofferson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kristofferson

This figure shows the co-authorship network connecting the top 25 collaborators of David Kristofferson. A scholar is included among the top collaborators of David Kristofferson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Kristofferson. David Kristofferson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Bleasby, Alan J., et al.. (1993). The BIOSCI newsgroup-computer networks changing biology. Trends in Biochemical Sciences. 18(8). 310–311. 1 indexed citations
2.
Burks, Christian, et al.. (1992). GenBank. Nucleic Acids Research. 20(suppl). 2065–2069. 40 indexed citations
3.
Kristofferson, David, et al.. (1992). Electronic communications for plant biology. Plant Molecular Biology Reporter. 10(3). 228–231. 1 indexed citations
4.
Bleasby, Alan J., Paul Griffiths, Robert A. Harper, et al.. (1992). Electronic communications and the new biology. Nucleic Acids Research. 20(16). 4127–4128. 1 indexed citations
5.
Burks, Christian, et al.. (1991). GenBank. Nucleic Acids Research. 19(suppl). 2221–2225. 52 indexed citations
6.
Smith, R. H., Benjamin F. Hobbs, Eliot Lear, et al.. (1991). A mechanism for maintaining an up-to-date GenBank®database via Usenet. Computer applications in the biosciences. 7(1). 111–112. 5 indexed citations
7.
Benton, David, et al.. (1988). New developments at BIONET. Nucleic Acids Research. 16(5). 1857–1859. 16 indexed citations
8.
Kristofferson, David. (1987). The BIONET electronic network. Nature. 325(6104). 555–556. 31 indexed citations
9.
Kristofferson, David, Timothy J. Mitchison, & Marc W. Kirschner. (1986). Direct observation of steady-state microtubule dynamics.. The Journal of Cell Biology. 102(3). 1007–1019. 119 indexed citations
10.
Purich, Daniel L. & David Kristofferson. (1984). Microtubule Assembly: A Review of Progress, Principles, and Perspectives. Advances in protein chemistry. 36. 133–212. 85 indexed citations
11.
Fairclough, Robert H., Janet Finer-Moore, Robert A. Love, et al.. (1983). Subunit Organization and Structure of an Acetylcholine Receptor. Cold Spring Harbor Symposia on Quantitative Biology. 48(0). 9–20. 50 indexed citations
12.
Kristofferson, David, et al.. (1982). Chapter 8 An Automated Method for Defining Microtubule Length Distributions. Methods in cell biology. 24. 133–144. 5 indexed citations
13.
Lee, Sun Hee, David Kristofferson, & Daniel L. Purich. (1982). Microtubule interactions with GDP provide evidence that assembly-disassembly properties depend on the method of brain microtubule protein isolation. Biochemical and Biophysical Research Communications. 105(4). 1605–1610. 12 indexed citations
14.
Purich, Daniel L., Timothy L. Karr, & David Kristofferson. (1982). [42] Microtubule disassembly: A quantitative kinetic approach for defining endwise linear depolymerization. Methods in enzymology on CD-ROM/Methods in enzymology. 439–450. 3 indexed citations
15.
Kristofferson, David & Daniel L. Purich. (1981). Time scale of microtubule length redistribution. Archives of Biochemistry and Biophysics. 211(1). 222–226. 17 indexed citations
16.
Kristofferson, David & Daniel L. Purich. (1981). A quantitative treatment of reversible monomer-polymer exchange reactions with microtubules and other biopolymers. Journal of Theoretical Biology. 92(1). 85–96. 7 indexed citations
17.
Karr, Timothy L., David Kristofferson, & D L Purich. (1980). Mechanism of microtubule depolymerization. Correlation of rapid induced disassembly experiments with a kinetic model for endwise depolymerization.. Journal of Biological Chemistry. 255(18). 8560–8566. 70 indexed citations
18.
Kristofferson, David, Timothy L. Karr, & D L Purich. (1980). Dynamics of linear protein polymer disassembly.. Journal of Biological Chemistry. 255(18). 8567–8572. 39 indexed citations
19.
Karr, Timothy L., David Kristofferson, & D L Purich. (1980). Calcium ion induces endwise depolymerization of bovine brain microtubules.. Journal of Biological Chemistry. 255(24). 11853–11856. 48 indexed citations

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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