Diane Kissell

19 total papers · 1.7k total citations
15 papers, 751 citations indexed

About

Diane Kissell is a scholar working on Infectious Diseases, Hematology and Immunology. According to data from OpenAlex, Diane Kissell has authored 15 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Hematology and 5 papers in Immunology. Recurrent topics in Diane Kissell's work include Autoimmune and Inflammatory Disorders Research (4 papers), Immune Cell Function and Interaction (4 papers) and Parvovirus B19 Infection Studies (4 papers). Diane Kissell is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (4 papers), Immune Cell Function and Interaction (4 papers) and Parvovirus B19 Infection Studies (4 papers). Diane Kissell collaborates with scholars based in United States, Pakistan and United Kingdom. Diane Kissell's co-authors include Kejian Zhang, Alexandra H. Filipovich, Judith A. Johnson, Ammar Husami, Qian Wei, Peter S. Klein, Rebecca Marsh, Jarek Meller, Kimberly Risma and Michael B. Jordan and has published in prestigious journals such as Blood, Neurology and The Journal of Infectious Diseases.

In The Last Decade

Diane Kissell

14 papers receiving 742 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Diane Kissell 439 370 291 111 107 15 751
Ammar Husami 416 0.9× 282 0.8× 161 0.6× 153 1.4× 31 0.3× 28 735
Peter J. Spaeth 229 0.5× 294 0.8× 86 0.3× 97 0.9× 148 1.4× 25 796
Carl Granert 236 0.5× 461 1.2× 38 0.1× 74 0.7× 45 0.4× 14 690
Guillaume Caridade 201 0.5× 120 0.3× 104 0.4× 40 0.4× 248 2.3× 10 807
Rita Clementi 504 1.1× 526 1.4× 265 0.9× 58 0.5× 14 0.1× 21 819
Wenke Seifert 254 0.6× 310 0.8× 121 0.4× 183 1.6× 9 0.1× 16 710
Takuya Sekine 196 0.4× 502 1.4× 129 0.4× 146 1.3× 40 0.4× 27 878
M Messina 92 0.2× 145 0.4× 62 0.2× 249 2.2× 128 1.2× 30 745
Maximilian Heeg 86 0.2× 443 1.2× 85 0.3× 118 1.1× 10 0.1× 22 698
Miriam Entesarian 96 0.2× 161 0.4× 55 0.2× 295 2.7× 41 0.4× 15 622

Countries citing papers authored by Diane Kissell

Since Specialization
Citations

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

Fields of papers citing papers by Diane Kissell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Kissell

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Kissell. A scholar is included among the top collaborators of Diane Kissell 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 Diane Kissell. Diane Kissell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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