John Keesey

3.7k total citations · 2 hit papers
35 papers, 2.6k citations indexed

About

John Keesey is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, John Keesey has authored 35 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Neurology, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in John Keesey's work include Myasthenia Gravis and Thymoma (26 papers), Peripheral Neuropathies and Disorders (8 papers) and Pituitary Gland Disorders and Treatments (6 papers). John Keesey is often cited by papers focused on Myasthenia Gravis and Thymoma (26 papers), Peripheral Neuropathies and Disorders (8 papers) and Pituitary Gland Disorders and Treatments (6 papers). John Keesey collaborates with scholars based in United States, Italy and Puerto Rico. John Keesey's co-authors include Richard J. Barohn, Audrey S. Penn, Henry J. Kaminski, Donald B. Sanders, Alfred Jaretzki, Raina M. Ernstoff, Donald G. Mulder, C. Herrmann, Wendy J. Brown and Robert W. Baloh and has published in prestigious journals such as Neurology, Annals of Neurology and Radiology.

In The Last Decade

John Keesey

35 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Myasthenia gravis

2000 1.2k citations Alfred Jaretzki, Richard J. Barohn et al. Neurology profile →
Myasthenia gravis: recommendations for clinical research standards

2000 530 citations Alfred Jaretzki, Richard J. Barohn et al. The Annals of Thoracic Surgery profile →

Peers

John Keesey

NEURO

ID

SURGE

EDM

MB

Vern C. Juel United States

Richard S. A. Tindall United States

Thomas Bergman United States

Robert S. Hepler United States

C. Carollo Italy

Emı́lia Kerty Norway

Y. L. Yu China

Ata Siddiqui United Kingdom

Edward L. Seljeskog United States

P Gajdoš France

Vern C. Juel United States

John Keesey

1.3k ×0.5

NEURO

303 ×0.6

ID

473 ×1.1

SURGE

45 ×0.2

EDM

190 ×1.2

MB

Citations per year, relative to John Keesey John Keesey (= 1×) peers Vern C. Juel

Countries citing papers authored by John Keesey

Since Specialization

Citations

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

Fields of papers citing papers by John Keesey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Keesey

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Keesey, John. (2008). Chapter 1 The most vulnerable synapse: historic aspects of neuromuscular junction disorders. Handbook of clinical neurology. 91. 1–25. 1 indexed citations

2.

Keesey, John & Johan A. Aarli. (2007). Something in the Blood? A History of the Autoimmune Hypothesis regarding Myasthenia Gravis. Journal of the History of the Neurosciences. 16(4). 395–412. 4 indexed citations

3.

Keesey, John. (2005). How Electric Fish Became Sources of Acetylcholine Receptor. Journal of the History of the Neurosciences. 14(2). 149–164. 15 indexed citations

4.

Keesey, John. (2004). Clinical evaluation and management of myasthenia gravis. Muscle & Nerve. 29(4). 484–505. 186 indexed citations

5.

Keesey, John. (2004). A History of Treatments for Myasthenia Gravis. Seminars in Neurology. 24(1). 5–16. 27 indexed citations

6.

Keesey, John. (2003). The Role of Herman Hoppe of Cincinnati in the Initial Clinical Recognition of Myasthenia Gravis. Journal of the History of the Neurosciences. 12(2). 167–174. 4 indexed citations

7.

Gómez, Christopher M., Ricardo A. Maselli, Bhupinder P. S. Vohra, et al.. (2001). Novel delta subunit mutation in slow‐channel syndrome causes severe weakness by novel mechanisms. Annals of Neurology. 51(1). 102–112. 54 indexed citations

8.

Jaretzki, Alfred, Richard J. Barohn, Raina M. Ernstoff, et al.. (2000). Myasthenia gravis. Neurology. 55(1). 16–23. 1212 indexed citations breakdown →

9.

Jaretzki, Alfred, Richard J. Barohn, Raina M. Ernstoff, et al.. (2000). Myasthenia gravis: recommendations for clinical research standards. The Annals of Thoracic Surgery. 70(1). 327–334. 530 indexed citations breakdown →

10.

Keesey, John. (1999). Does myasthenia gravis affect the brain?. Journal of the Neurological Sciences. 170(2). 77–89. 45 indexed citations

11.

Keesey, John. (1998). A Treatment Algorithm for Autoimmune Myasthenia in Adults. Annals of the New York Academy of Sciences. 841(1). 753–768. 16 indexed citations

12.

Keesey, John. (1989). AAEE minimonograph #33: Electrodiagnostic approach to defects of neuromuscular transmission. Muscle & Nerve. 12(8). 613–626. 99 indexed citations

13.

Mulder, Donald G., et al.. (1983). Thymectomy for myasthenia gravis. The American Journal of Surgery. 146(1). 61–66. 47 indexed citations

14.

Angelini, C., et al.. (1982). Autoimmune neuromuscular disease induced by a preparation of choline acetyltransferase. Experimental Neurology. 75(1). 23–35. 5 indexed citations

15.

Keesey, John, et al.. (1982). Acetylcholine Receptor Antibody Titer and HLA-B8 Antigen in Myasthenia Gravis. Archives of Neurology. 39(2). 73–77. 11 indexed citations

16.

Aita, J. F., et al.. (1981). Detection of thymoma in myasthenia gravis. Neurology. 31(1). 113–113. 3 indexed citations

17.

Kelley, Robert E., et al.. (1981). IMMUNOREGULATION OF TOTAL IgC SYNTHESIS IN MYASTHENIA GRAVIS. Annals of the New York Academy of Sciences. 377(1). 403–410. 6 indexed citations

18.

Naeim, Faramarz, et al.. (1978). Association of HLA—B8, DRw3, and Anti‐Acetylcholine Receptor Antibodies in Myasthenia Gravis. Tissue Antigens. 12(5). 381–386. 52 indexed citations

19.

Baloh, Robert W. & John Keesey. (1976). SACCADE FATIGUE AND RESPONSE TO EDROPHONIUM FOR THE DIAGNOSIS OF MYASTHENIA GRAVIS*. Annals of the New York Academy of Sciences. 274(1). 631–641. 28 indexed citations

20.

Keesey, John, et al.. (1976). STUDIES ON THE ABILITY OF ACETYLCHOLINE RECEPTORS TO BIND ALPHA‐BUNGAROTOXIN AFTER EXPOSURE TO MYASTHENIC SERUM*. Annals of the New York Academy of Sciences. 274(1). 244–253. 2 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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