Perry M. Kirkham

1.2k total citations
17 papers, 940 citations indexed

About

Perry M. Kirkham is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Perry M. Kirkham has authored 17 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Perry M. Kirkham's work include T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Immune Cell Function and Interaction (6 papers). Perry M. Kirkham is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Immune Cell Function and Interaction (6 papers). Perry M. Kirkham collaborates with scholars based in United States, Switzerland and United Kingdom. Perry M. Kirkham's co-authors include Harry W. Schroeder, Frank Mortari, Karl Bauer, M Klinger, Michael Zemlin, Cosima Zemlin, Jeffrey A. Engler, Jason M. Link, Dario Neri and Satoshi Shiokawa and has published in prestigious journals such as Journal of Clinical Investigation, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Perry M. Kirkham

17 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Perry M. Kirkham United States 13 539 531 374 93 77 17 940
M R Walker United Kingdom 13 445 0.8× 692 1.3× 592 1.6× 96 1.0× 76 1.0× 24 1.2k
Adnan Malik United Kingdom 9 854 1.6× 257 0.5× 358 1.0× 65 0.7× 35 0.5× 12 1.2k
M. Fougereau France 23 677 1.3× 617 1.2× 508 1.4× 144 1.5× 93 1.2× 68 1.2k
Deniz Ugurlar Netherlands 5 512 0.9× 432 0.8× 285 0.8× 109 1.2× 61 0.8× 10 874
F Celada Italy 16 626 1.2× 427 0.8× 302 0.8× 60 0.6× 28 0.4× 37 1.1k
Judith Greenwood United Kingdom 15 343 0.6× 501 0.9× 472 1.3× 55 0.6× 82 1.1× 16 1.0k
Joumana Jabado-Michaloud France 7 766 1.4× 487 0.9× 559 1.5× 62 0.7× 124 1.6× 12 1.3k
Sean C. Yoder United States 6 285 0.5× 472 0.9× 362 1.0× 44 0.5× 67 0.9× 11 712
Géraldine Folch France 9 441 0.8× 226 0.4× 315 0.8× 36 0.4× 38 0.5× 16 690
Annette M. Stemerding Netherlands 7 292 0.5× 344 0.6× 269 0.7× 75 0.8× 35 0.5× 9 588

Countries citing papers authored by Perry M. Kirkham

Since Specialization
Citations

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

Fields of papers citing papers by Perry M. Kirkham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Perry M. Kirkham. 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 Perry M. Kirkham. The network helps show where Perry M. Kirkham may publish in the future.

Co-authorship network of co-authors of Perry M. Kirkham

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

All Works

17 of 17 papers shown
1.
Oh, Wonkyung, Deepika Dhawan, Perry M. Kirkham, et al.. (2023). Development of an Anti-canine PD-L1 Antibody and Caninized PD-L1 Mouse Model as Translational Research Tools for the Study of Immunotherapy in Humans. Cancer Research Communications. 3(5). 860–873. 6 indexed citations
2.
Shang, Hao, et al.. (2005). The application of magnetic force differentiation for the measurement of the affinity of peptide libraries. Journal of Magnetism and Magnetic Materials. 293(1). 382–388. 13 indexed citations
3.
Brooks, Stephen R., et al.. (2004). Binding of Cytoplasmic Proteins to the CD19 Intracellular Domain Is High Affinity, Competitive, and Multimeric. The Journal of Immunology. 172(12). 7556–7564. 25 indexed citations
4.
Atkinson, T. Prescott, Craig G. Hall, Jeff Goldsmith, & Perry M. Kirkham. (2003). Splice variant in TCRζ links T cell receptor signaling to a G-protein-related signaling pathway. Biochemical and Biophysical Research Communications. 310(3). 761–766. 13 indexed citations
5.
Zemlin, Michael, M Klinger, Jason M. Link, et al.. (2003). Expressed Murine and Human CDR-H3 Intervals of Equal Length Exhibit Distinct Repertoires that Differ in their Amino Acid Composition and Predicted Range of Structures. Journal of Molecular Biology. 334(4). 733–749. 267 indexed citations
6.
Atkinson, T. Prescott, Craig G. Hall, Suzanne Skoda‐Smith, Jeff Goldsmith, & Perry M. Kirkham. (2003). Splice variant in T-cell receptor ξ chain occurs in a region with homology to G-protein γ chain. Journal of Allergy and Clinical Immunology. 111(2). S282–S283. 1 indexed citations
7.
Kirkham, Perry M., Dario Neri, & Greg Winter. (1999). Towards the Design of an Antibody that Recognises a Given Protein Epitope. Journal of Molecular Biology. 285(3). 909–915. 21 indexed citations
8.
Shiokawa, Satoshi, Frank Mortari, José Lima, et al.. (1999). IgM Heavy Chain Complementarity-Determining Region 3 Diversity Is Constrained by Genetic and Somatic Mechanisms Until Two Months After Birth. The Journal of Immunology. 162(10). 6060–6070. 91 indexed citations
9.
Neri, Dario, et al.. (1996). Biophysical methods for the determination of antibody-antigen affinities. Trends in biotechnology. 14(12). 465–470. 67 indexed citations
10.
Schroeder, Harry W., Frank Mortari, Satoshi Shiokawa, et al.. (1995). Developmental Regulation of the Human Antibody Repertoirea. Annals of the New York Academy of Sciences. 764(1). 242–260. 82 indexed citations
11.
Bridges, S. Louis, William J. Koopman, Björn E. Clausen, et al.. (1995). Immunoglobulin Gene Expression in Rheumatoid Arthritis. Birkhäuser Basel eBooks. 47. 23–35. 1 indexed citations
12.
Shaw, Denise R., Perry M. Kirkham, Harry W. Schroeder, P Roben, & Gregg J. Silverman. (1995). Structure—Function Studies of Human Monoclonal Antibodies to Pneumococcus Type 3 Polysaccharide. Annals of the New York Academy of Sciences. 764(1). 370–373. 19 indexed citations
13.
Bridges, S. Louis, et al.. (1994). Evidence of antigen receptor-influenced oligoclonal B lymphocyte expansion in the synovium of a patient with longstanding rheumatoid arthritis.. Journal of Clinical Investigation. 93(1). 361–370. 40 indexed citations
14.
Kirkham, Perry M. & Harry W. Schroeder. (1994). Antibody structure and the evolution of immunoglobulin V gene segments. Seminars in Immunology. 6(6). 347–360. 86 indexed citations
15.
Dijk, Ko Willems van, Frank Mortari, Perry M. Kirkham, Harry W. Schroeder, & E C Milner. (1993). The human immunoglobulin VH7 gene family consists of a small, polymorphic group of six to eight gene segments dispersed throughout the VH locus. European Journal of Immunology. 23(4). 832–839. 52 indexed citations
16.
Kirkham, Perry M., et al.. (1992). Immunoglobulin VH clan and family identity predicts variable domain structure and may influence antigen binding.. The EMBO Journal. 11(2). 603–609. 151 indexed citations
17.
KRAKIWSKY, Edward J., David E. Wells, & Perry M. Kirkham. (1972). Geodetic Control from Doppler Satellite Observations. The Canadian Surveyor. 26(2). 146–162. 5 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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