Maya Ram

60 papers receiving 2.3k citations

Peers

Maya Ram
Comparison fields: 5 of 108
  • Gastroenterology 213
  • Rheumatology 585
  • Parasitology 183
  • Hepatology 194
  • Immunology 527
Replace Kyung‐Whan Min with:
Kyung‐Whan Min United States
Anja S. Tiilikainen Finland
P. J. Sinnott United Kingdom
Wolfgang Schlumberger Germany
Fiona Graeme‐Cook United States
J F Colombel France
Paul A. Blair United Kingdom
Sylvain Dubucquoi France
Philippe Grimbert France
J. Bart A. Crusius Netherlands
Maya Ram relative to Kyung‐Whan Min United States Kyung‐Whan Min's profile →
Citations per field
00.5×2×4×6.3×
Kyung‐Whan Min · 1×
Citations per year

Countries citing papers authored by Maya Ram

Since Specialization
Citations

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

Fields of papers citing papers by Maya Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maya Ram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maya Ram Line = papers co-authored together Maya Ram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006252
2 2007175
3
The mosaic of autoimmunity: hormonal and environmental factors involved in autoimmune diseases--2008.
2008158
4 2007131
5
The mosaic of autoimmunity: prediction, autoantibodies, and therapy in autoimmune diseases--2008.
2008115
6
The mosaic of autoimmunity: genetic factors involved in autoimmune diseases--2008.
2008107
7 200885
8 200982
9 200979
10 201277
11 200872
12 200965
13 200964
14 201163
15 201257
16 200957
17 201254
18 201149
19
The mosaic of autoimmunity: genetic factors involved in autoimmune diseases—2008. Isr Med Assoc J
200848
20 200946

About Maya Ram

Maya Ram is a scholar working on Obstetrics and Gynecology, Rheumatology, Immunology, Epidemiology and Gastroenterology, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (9 papers), Pregnancy and preeclampsia studies (6 papers), Cytomegalovirus and herpesvirus research (6 papers), Diabetes and associated disorders (5 papers), Gestational Diabetes Research and Management (5 papers), Celiac Disease Research and Management (4 papers), T-cell and B-cell Immunology (4 papers) and Parvovirus B19 Infection Studies (4 papers). The work is most often cited by research in Gastroenterology (213 citations), Rheumatology (585 citations), Parasitology (183 citations), Hepatology (194 citations) and Immunology (527 citations). Maya Ram has collaborated with scholars based in Israel, Italy and United States. Frequent co-authors include Yehuda Shoenfeld, Ori Barzilai, Yaniv Sherer, Juan‐Manuel Anaya, Nicola Bizzaro, Miri Blank, David Izhaky, Nancy Agmon‐Levin, Yackov Berkun and Gisele Zandman‐Goddard. Their work appears in journals such as Annals of the New York Academy of Sciences, Archives of Gynecology and Obstetrics, American Journal of Obstetrics and Gynecology, Clinical Reviews in Allergy & Immunology and Journal of Autoimmunity.

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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