Diane L. Cookfair

7.3k citations
32 papers · 2.3k indexed · 1 hit paper · h-index 20
Topics
Multiple Sclerosis Research Studies (17 papers)Polyomavirus and related diseases (4 papers)Peripheral Neuropathies and Disorders (3 papers)

In The Last Decade

Diane L. Cookfair

32 papers receiving 2.2k citations

Hit Papers

Validity of the minimal assessment of cognitive function ...20062026201220192006200400600

Peers

Diane L. Cookfair
Comparison fields: 5 of 118
  • Pathology and Forensic Medicine 1.8k
  • Neurology 509
  • Rheumatology 458
  • Radiology, Nuclear Medicine and Imaging 276
  • Oncology 272
Replace F Munschauer with:
F Munschauer United States
Jan Boringa Netherlands
Enrico Millefiorini Italy
Šarlota Mesaroš Serbia
Özgür Yaldizli Switzerland
Jill S. Fischer United States
Valerie L. Stevenson United Kingdom
Michele Mass United States
Jeannette Lechner‐Scott Australia
David I. Kaufman United States
Diane L. Cookfair relative to F Munschauer United States F Munschauer's profile →
Citations per field
00.5×1.5×
F Munschauer · 1×
Citations per year

Countries citing papers authored by Diane L. Cookfair

Since Specialization
Citations

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

Fields of papers citing papers by Diane L. Cookfair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane L. Cookfair

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 38
3 33
4 12
5 7
6 121
7 71
8 70
9 70
10
Validity of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS)breakdown →
621
11 51
12 18
13 13
14 261
15 262
16 32
17 157
18 6
19 49
20 1

About Diane L. Cookfair

Diane L. Cookfair is a scholar working on Pathology and Forensic Medicine, Endocrine and Autonomic Systems and Obstetrics and Gynecology, having authored 32 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (17 papers), Polyomavirus and related diseases (4 papers) and Peripheral Neuropathies and Disorders (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.8k citations), Neurology (509 citations) and Rheumatology (458 citations). Diane L. Cookfair has collaborated with scholars based in United States, Czechia and Ukraine. Frequent co-authors include Bianca Weinstock‐Guttman, Ralph H. B. Benedict, Frederick Munschauer, Rebecca Gavett, Neeta Garg, Karl Wende, Donald E. Goodkin, Richard A. Rudick, J R Richert and Sarah A. Morrow. Their work appears in journals such as NeuroImage, Neurology and Cancer.

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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